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  1. .gitignore +134 -0
  2. LICENCE +661 -0
  3. app.py +97 -0
  4. pyproject.toml +21 -0
  5. requirements.txt +5 -0
  6. setup.py +43 -0
  7. tests/__init__.py +1 -0
  8. tests/data/apollo11.mp3 +0 -0
  9. tests/data/bonjour.wav +0 -0
  10. tests/data/bonjour_vous_allez_bien.mp3 +0 -0
  11. tests/data/empty.mp3 +0 -0
  12. tests/data/empty.wav +0 -0
  13. tests/data/gaenswein15.mp3 +0 -0
  14. tests/data/gloria.mp3 +0 -0
  15. tests/data/laugh1.mp3 +0 -0
  16. tests/data/laugh2.mp3 +0 -0
  17. tests/data/no_punctuations.mp3.words.json +68 -0
  18. tests/data/punctuations.mp3 +0 -0
  19. tests/data/radio_short.mp3 +0 -0
  20. tests/data/smartphone.mp3 +0 -0
  21. tests/data/smartphone.mp3.words.json +0 -0
  22. tests/data/words.wav +0 -0
  23. tests/data/yes_punctuations.mp3.words.json +68 -0
  24. tests/expected/corner_cases.cpu/accurate.tiny_apollo11.mp3.words.json +1481 -0
  25. tests/expected/corner_cases.cpu/large_apollo11.mp3.words.json +2212 -0
  26. tests/expected/corner_cases.cpu/nocond.random_music.mp4.words.json +3209 -0
  27. tests/expected/corner_cases.cpu/nocond_music.mp4.words.json +2687 -0
  28. tests/expected/corner_cases.cpu/random.nocond_apollo11.mp3.words.json +1192 -0
  29. tests/expected/corner_cases.cpu/random_apollo11.mp3.words.json +3815 -0
  30. tests/expected/corner_cases.cpu/stucked_lm_apollo11.mp3.words.json +3814 -0
  31. tests/expected/corner_cases/accurate.tiny_apollo11.mp3.words.json +1160 -0
  32. tests/expected/corner_cases/arabic.mp3.words.json +393 -0
  33. tests/expected/corner_cases/issue24_empty.wav.words.json +5 -0
  34. tests/expected/corner_cases/large-v2.accurate_gloria.mp3.words.json +540 -0
  35. tests/expected/corner_cases/large-v2.efficient_gloria.mp3.words.json +564 -0
  36. tests/expected/corner_cases/large_apollo11.mp3.words.json +1861 -0
  37. tests/expected/corner_cases/medium.accurate_gloria.mp3.words.json +544 -0
  38. tests/expected/corner_cases/medium.efficient_gloria.mp3.words.json +538 -0
  39. tests/expected/corner_cases/nocond.random_music.mp4.words.json +3274 -0
  40. tests/expected/corner_cases/nocond_music.mp4.words.json +3224 -0
  41. tests/expected/corner_cases/random.nocond_apollo11.mp3.words.json +2037 -0
  42. tests/expected/corner_cases/random_apollo11.mp3.words.json +1812 -0
  43. tests/expected/corner_cases/stucked_lm_apollo11.mp3.words.json +3820 -0
  44. tests/expected/medium_auto.cpu/empty.mp3.words.json +46 -0
  45. tests/expected/medium_auto.cpu/radio_short.mp3.words.json +1616 -0
  46. tests/expected/medium_auto.cpu/smartphone.mp3.words.json +0 -0
  47. tests/expected/medium_auto/bonjour.wav.words.json +32 -0
  48. tests/expected/medium_auto/bonjour_vous_allez_bien.mp3.words.json +134 -0
  49. tests/expected/medium_auto/empty.mp3.words.json +46 -0
  50. tests/expected/medium_auto/gaenswein15.mp3.words.json +316 -0
.gitignore ADDED
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+ # Temporary files
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+ tmp*
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+
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+ # Byte-compiled / optimized / DLL files
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+ __pycache__/
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+ *.py[cod]
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+ *$py.class
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+
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+ # C extensions
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+ *.so
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+
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+ # Distribution / packaging
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+ .Python
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+ build/
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+ develop-eggs/
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+ dist/
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+ downloads/
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+ eggs/
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+ .eggs/
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+ lib/
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+ lib64/
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+ parts/
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+ sdist/
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+ var/
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+ wheels/
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+ pip-wheel-metadata/
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+ share/python-wheels/
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+ *.egg-info/
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+ .installed.cfg
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+ *.egg
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+ MANIFEST
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+
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+ # PyInstaller
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+ # Usually these files are written by a python script from a template
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+ # before PyInstaller builds the exe, so as to inject date/other infos into it.
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+ *.manifest
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+ *.spec
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+ # Installer logs
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+ pip-log.txt
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+ pip-delete-this-directory.txt
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+
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+ # Unit test / coverage reports
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+ htmlcov/
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+ .tox/
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+ .nox/
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+ .coverage
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+ .coverage.*
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+ .cache
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+ nosetests.xml
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+ coverage.xml
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+ *.cover
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+ *.py,cover
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+ .pytest_cache/
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+
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+ # Translations
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+ *.pot
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+ # Django stuff:
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+ *.log
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+ db.sqlite3-journal
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+ # Flask stuff:
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+ instance/
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+ # Scrapy stuff:
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+ ipython_config.py
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+ # pyenv
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+ __pypackages__/
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+ # Celery stuff
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+ celerybeat-schedule
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+ *.sage.py
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+ .spyderproject
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+ .dmypy.json
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+ dmypy.json
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+ # Pyre type checker
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+ .pyre/
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+ models/*
LICENCE ADDED
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+ 9. Acceptance Not Required for Having Copies.
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+ 11. Patents.
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+ A "contributor" is a copyright holder who authorizes use under this
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+ Nothing in this License shall be construed as excluding or limiting
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+ otherwise be available to you under applicable patent law.
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+ 12. No Surrender of Others' Freedom.
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+ If conditions are imposed on you (whether by court order, agreement or
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+
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+ 13. Remote Network Interaction; Use with the GNU General Public License.
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+
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+ Notwithstanding any other provision of this License, if you modify the
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+ License will continue to apply to the part which is the covered work,
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+ but the work with which it is combined will remain governed by version
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+ 3 of the GNU General Public License.
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+
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+ 14. Revised Versions of this License.
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+
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+ The Free Software Foundation may publish revised and/or new versions of
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+ the GNU Affero General Public License from time to time. Such new versions
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+ will be similar in spirit to the present version, but may differ in detail to
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+ address new problems or concerns.
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+
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+ Each version is given a distinguishing version number. If the
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+ Program specifies that a certain numbered version of the GNU Affero General
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+ Foundation. If the Program does not specify a version number of the
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+ GNU Affero General Public License, you may choose any version ever published
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+ by the Free Software Foundation.
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+ If the Program specifies that a proxy can decide which future
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+ Later license versions may give you additional or different
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+ permissions. However, no additional obligations are imposed on any
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+ author or copyright holder as a result of your choosing to follow a
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+ later version.
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+
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+ 15. Disclaimer of Warranty.
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+
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+ THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
590
+ APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
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+ 16. Limitation of Liability.
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+
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+ IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
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+ EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
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+ SUCH DAMAGES.
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+
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+ 17. Interpretation of Sections 15 and 16.
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+
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+ If the disclaimer of warranty and limitation of liability provided
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+ above cannot be given local legal effect according to their terms,
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+ reviewing courts shall apply local law that most closely approximates
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+ Program, unless a warranty or assumption of liability accompanies a
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+ copy of the Program in return for a fee.
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+
619
+ END OF TERMS AND CONDITIONS
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+
621
+ How to Apply These Terms to Your New Programs
622
+
623
+ If you develop a new program, and you want it to be of the greatest
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+ possible use to the public, the best way to achieve this is to make it
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+ free software which everyone can redistribute and change under these terms.
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+ To do so, attach the following notices to the program. It is safest
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+ to attach them to the start of each source file to most effectively
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+ state the exclusion of warranty; and each file should have at least
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+ the "copyright" line and a pointer to where the full notice is found.
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+
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+ <one line to give the program's name and a brief idea of what it does.>
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+ Copyright (C) <year> <name of author>
634
+
635
+ This program is free software: you can redistribute it and/or modify
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+ it under the terms of the GNU Affero General Public License as published
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+ by the Free Software Foundation, either version 3 of the License, or
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+ (at your option) any later version.
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+
640
+ This program is distributed in the hope that it will be useful,
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+ but WITHOUT ANY WARRANTY; without even the implied warranty of
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+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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+ GNU Affero General Public License for more details.
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+
645
+ You should have received a copy of the GNU Affero General Public License
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+ along with this program. If not, see <https://www.gnu.org/licenses/>.
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+
648
+ Also add information on how to contact you by electronic and paper mail.
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+
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+ If your software can interact with users remotely through a computer
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+ network, you should also make sure that it provides a way for users to
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+ get its source. For example, if your program is a web application, its
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+ interface could display a "Source" link that leads users to an archive
654
+ of the code. There are many ways you could offer source, and different
655
+ solutions will be better for different programs; see section 13 for the
656
+ specific requirements.
657
+
658
+ You should also get your employer (if you work as a programmer) or school,
659
+ if any, to sign a "copyright disclaimer" for the program, if necessary.
660
+ For more information on this, and how to apply and follow the GNU AGPL, see
661
+ <https://www.gnu.org/licenses/>.
app.py ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from io import StringIO
2
+ import os
3
+ import tempfile
4
+ import streamlit as st
5
+ import json
6
+ import whisper_timestamped as whisper
7
+ import pandas as pd
8
+
9
+ STAMP_TYPES = {"Sentence-level": "sentence", "Word-level": "word"}
10
+ LANGUAGES = {"English": "en", "Spanish": "es"}
11
+ MODEL_SIZES = {"Medium": "medium", "Large": "large"}
12
+
13
+
14
+ def save_temp_file(file):
15
+ temp_dir = tempfile.gettempdir()
16
+ temp_file_path = os.path.join(temp_dir, file.name)
17
+ with open(temp_file_path, "wb") as temp_file:
18
+ temp_file.write(file.getvalue())
19
+ return temp_file_path
20
+
21
+
22
+ @st.cache_resource(show_spinner=False)
23
+ def load_model(model_size: str):
24
+ print(f"model size : {MODEL_SIZES[model_size]}")
25
+ return whisper.load_model(
26
+ MODEL_SIZES[model_size], device="cpu", download_root="models"
27
+ )
28
+
29
+
30
+ def get_sentence_data(filename: str, timestamp_dict: dict):
31
+ sentence_df = pd.DataFrame(
32
+ columns=["Audio file", "Sentence", "Start", "End", "Duration"]
33
+ )
34
+ for sentence_i in timestamp_dict["segments"]:
35
+ sentence_i = pd.DataFrame(
36
+ {
37
+ "Audio file": [filename],
38
+ "Sentence": [str(sentence_i["text"])],
39
+ "Start": [sentence_i["start"]],
40
+ "End": [sentence_i["end"]],
41
+ "Duration": [sentence_i["end"] - sentence_i["start"]],
42
+ }
43
+ )
44
+ sentence_df = pd.concat([sentence_df, sentence_i], ignore_index=True)
45
+ return sentence_df
46
+
47
+
48
+ def get_word_data(filename: str, timestamp_dict: dict):
49
+ pass
50
+
51
+
52
+ def get_word_data():
53
+ pass
54
+
55
+
56
+ st.title("⏱️🧾 Timestamp generator")
57
+
58
+ # Audio load
59
+ audio_file = st.file_uploader(
60
+ "Load audio file to transcribe", type=["wav", "mp3"], accept_multiple_files=True
61
+ )
62
+
63
+ stamp_type, lang, size = st.columns(3)
64
+
65
+ with stamp_type:
66
+ timestamp_type = st.selectbox("Timestamp type", options=list(STAMP_TYPES.keys()))
67
+
68
+ with lang:
69
+ language = st.selectbox("Language", options=list(LANGUAGES.keys()))
70
+
71
+ with size:
72
+ model_size = st.selectbox("Model size", options=list(MODEL_SIZES.keys()))
73
+
74
+ # Botón para generar el timestamp
75
+ if st.button("Generate Timestamp", use_container_width=True):
76
+ with st.spinner("Loading model..."):
77
+ model = load_model(model_size)
78
+ sentences_df = pd.DataFrame()
79
+ for audio_i in audio_file:
80
+ with st.spinner(f"Processing audio: {audio_i.name}"):
81
+ tmp_audio = save_temp_file(audio_i)
82
+ tmp_audio_file = whisper.load_audio(tmp_audio)
83
+ timestamp_result = whisper.transcribe(
84
+ model, tmp_audio_file, language=LANGUAGES[language]
85
+ )
86
+ audio_i_df = get_sentence_data(audio_i.name, timestamp_result)
87
+ sentences_df = pd.concat([sentences_df, audio_i_df], ignore_index=True)
88
+
89
+ st.dataframe(sentences_df)
90
+
91
+ st.download_button(
92
+ "Save timestamps",
93
+ sentences_df.to_csv(index=False),
94
+ file_name="timestamps.csv",
95
+ mime="text/csv",
96
+ use_container_width=True,
97
+ )
pyproject.toml ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [tool.poetry]
2
+ name = "whisper-timestamped"
3
+ version = "0.1.0"
4
+ description = ""
5
+ authors = ["nahue-passano <passano43632@estudiantes.untref.edu.ar>"]
6
+ readme = "README.md"
7
+ packages = [{include = "whisper_timestamped"}]
8
+
9
+ [tool.poetry.dependencies]
10
+ python = ">=3.8,<3.9.7 || >3.9.7,<4.0"
11
+ Cython = "*"
12
+ dtw-python = "*"
13
+ openai-whisper = "*"
14
+ torch = "1.13"
15
+ matplotlib = "^3.7.1"
16
+ streamlit = "^1.24.0"
17
+
18
+
19
+ [build-system]
20
+ requires = ["poetry-core"]
21
+ build-backend = "poetry.core.masonry.api"
requirements.txt ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ Cython
2
+ dtw-python
3
+ openai-whisper
4
+ torch==1.13
5
+ streamlit==1.24
setup.py ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+
3
+ from setuptools import setup, find_packages
4
+
5
+ install_requires = open(os.path.join(os.path.dirname(__file__), "requirements.txt")).readlines()
6
+
7
+ version = None
8
+ license = None
9
+ with open(os.path.join(os.path.dirname(__file__), "whisper_timestamped", "transcribe.py")) as f:
10
+ for line in f:
11
+ if line.strip().startswith("__version__"):
12
+ version = line.split("=")[1].strip().strip("\"'")
13
+ if version and license:
14
+ break
15
+ if line.strip().startswith("__license__"):
16
+ license = line.split("=")[1].strip().strip("\"'")
17
+ if version and license:
18
+ break
19
+ assert version and license
20
+
21
+ setup(
22
+ name="whisper-timestamped",
23
+ py_modules=["whisper_timestamped"],
24
+ version=version,
25
+ description="Add to OpenAI Whisper the capability to give word timestamps",
26
+ python_requires=">=3.7",
27
+ author="Jeronymous",
28
+ url="https://github.com/linto-ai/whisper-timestamped",
29
+ license=license,
30
+ packages=find_packages(exclude=["tests*"]),
31
+ install_requires=install_requires,
32
+ entry_points = {
33
+ 'console_scripts': [
34
+ 'whisper_timestamped=whisper_timestamped.transcribe:cli',
35
+ 'whisper_timestamped_make_subtitles=whisper_timestamped.make_subtitles:cli'
36
+ ],
37
+ },
38
+ include_package_data=True,
39
+ extras_require={
40
+ 'dev': ['matplotlib', 'jsonschema', 'transformers'],
41
+ 'vad': ['onnxruntime', 'torchaudio'],
42
+ },
43
+ )
tests/__init__.py ADDED
@@ -0,0 +1 @@
 
 
1
+
tests/data/apollo11.mp3 ADDED
Binary file (89.2 kB). View file
 
tests/data/bonjour.wav ADDED
Binary file (38.5 kB). View file
 
tests/data/bonjour_vous_allez_bien.mp3 ADDED
Binary file (110 kB). View file
 
tests/data/empty.mp3 ADDED
Binary file (9.5 kB). View file
 
tests/data/empty.wav ADDED
Binary file (45.1 kB). View file
 
tests/data/gaenswein15.mp3 ADDED
Binary file (45.7 kB). View file
 
tests/data/gloria.mp3 ADDED
Binary file (61.8 kB). View file
 
tests/data/laugh1.mp3 ADDED
Binary file (34.4 kB). View file
 
tests/data/laugh2.mp3 ADDED
Binary file (5.76 kB). View file
 
tests/data/no_punctuations.mp3.words.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "text": " Dis-moi, est-ce que l'avion vole?",
3
+ "segments": [
4
+ {
5
+ "id": 0,
6
+ "seek": 0,
7
+ "start": 0.4,
8
+ "end": 2.34,
9
+ "text": " Dis-moi, est-ce que l'avion vole?",
10
+ "tokens": [
11
+ 50364,
12
+ 4208,
13
+ 12,
14
+ 29292,
15
+ 11,
16
+ 871,
17
+ 12,
18
+ 384,
19
+ 631,
20
+ 287,
21
+ 6,
22
+ 706,
23
+ 313,
24
+ 49877,
25
+ 2506,
26
+ 50494
27
+ ],
28
+ "temperature": 0.0,
29
+ "avg_logprob": -0.3014036907869227,
30
+ "compression_ratio": 0.8048780487804879,
31
+ "no_speech_prob": 0.05134102329611778,
32
+ "confidence": 0.925,
33
+ "words": [
34
+ {
35
+ "text": "Dis-moi",
36
+ "start": 0.4,
37
+ "end": 1.36,
38
+ "confidence": 0.801
39
+ },
40
+ {
41
+ "text": "est-ce",
42
+ "start": 1.36,
43
+ "end": 1.52,
44
+ "confidence": 0.966
45
+ },
46
+ {
47
+ "text": "que",
48
+ "start": 1.52,
49
+ "end": 1.64,
50
+ "confidence": 0.977
51
+ },
52
+ {
53
+ "text": "l'avion",
54
+ "start": 1.64,
55
+ "end": 2.02,
56
+ "confidence": 0.994
57
+ },
58
+ {
59
+ "text": "vole",
60
+ "start": 2.02,
61
+ "end": 2.34,
62
+ "confidence": 0.891
63
+ }
64
+ ]
65
+ }
66
+ ],
67
+ "language": "fr"
68
+ }
tests/data/punctuations.mp3 ADDED
Binary file (64.3 kB). View file
 
tests/data/radio_short.mp3 ADDED
Binary file (361 kB). View file
 
tests/data/smartphone.mp3 ADDED
Binary file (534 kB). View file
 
tests/data/smartphone.mp3.words.json ADDED
The diff for this file is too large to render. See raw diff
 
tests/data/words.wav ADDED
Binary file (738 kB). View file
 
tests/data/yes_punctuations.mp3.words.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "text": " Dis-moi, est-ce que l'avion vole?",
3
+ "segments": [
4
+ {
5
+ "id": 0,
6
+ "seek": 0,
7
+ "start": 0.4,
8
+ "end": 2.34,
9
+ "text": " Dis-moi, est-ce que l'avion vole?",
10
+ "tokens": [
11
+ 50364,
12
+ 4208,
13
+ 12,
14
+ 29292,
15
+ 11,
16
+ 871,
17
+ 12,
18
+ 384,
19
+ 631,
20
+ 287,
21
+ 6,
22
+ 706,
23
+ 313,
24
+ 49877,
25
+ 2506,
26
+ 50494
27
+ ],
28
+ "temperature": 0.0,
29
+ "avg_logprob": -0.3014036907869227,
30
+ "compression_ratio": 0.8048780487804879,
31
+ "no_speech_prob": 0.05134102329611778,
32
+ "confidence": 0.925,
33
+ "words": [
34
+ {
35
+ "text": "Dis-moi,",
36
+ "start": 0.4,
37
+ "end": 1.36,
38
+ "confidence": 0.801
39
+ },
40
+ {
41
+ "text": "est-ce",
42
+ "start": 1.36,
43
+ "end": 1.52,
44
+ "confidence": 0.966
45
+ },
46
+ {
47
+ "text": "que",
48
+ "start": 1.52,
49
+ "end": 1.64,
50
+ "confidence": 0.977
51
+ },
52
+ {
53
+ "text": "l'avion",
54
+ "start": 1.64,
55
+ "end": 2.02,
56
+ "confidence": 0.994
57
+ },
58
+ {
59
+ "text": "vole?",
60
+ "start": 2.02,
61
+ "end": 2.34,
62
+ "confidence": 0.891
63
+ }
64
+ ]
65
+ }
66
+ ],
67
+ "language": "fr"
68
+ }
tests/expected/corner_cases.cpu/accurate.tiny_apollo11.mp3.words.json ADDED
@@ -0,0 +1,1481 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "text": " I'm all around my business and we gotta eat recommendations for you on your door to the VA We have 18A's I'm all around my business and I'm all around my business and I'm all around my business I got a little bit of a problem with that, and you want to have the advice down My goal is to reach these things, not to reach out to them and they're out of the bag And I can't see anything else, I don't want to hear anything else I'm at the least, I'm not making the tag I can't see anything else Yeah, I'm taking a heavy out of the bag We're on the highway, we're on the highway, we're on the highway We're on the highway, we're on the highway We want to hear that, this is the case, we know we can't get that much of our business So I guess we'll be somewhere in our place, but it's not over Okay, it's not over, it's not over, it's not over",
3
+ "segments": [
4
+ {
5
+ "id": 0,
6
+ "seek": 0,
7
+ "start": 0.6,
8
+ "end": 5.28,
9
+ "text": " I'm all around my business and we gotta eat recommendations for you on your door to the VA",
10
+ "tokens": [
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+ 286,
12
+ 478,
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+ 926,
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+ 452,
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+ 1606,
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+ 293,
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+ 321,
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+ 3428,
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+ 10434,
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+ 291,
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+ 322,
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+ 428,
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+ 2853,
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+ 281,
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+ 264,
29
+ 18527
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+ ],
31
+ "temperature": 0.0,
32
+ "avg_logprob": -0.4247800021701389,
33
+ "compression_ratio": 6.281818181818182,
34
+ "no_speech_prob": 0.3518604338169098,
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+ "confidence": 0.27,
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+ "words": [
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+ {
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+ "text": "I'm",
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+ "start": 0.6,
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+ "end": 0.74,
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+ "confidence": 0.168
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+ },
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+ {
44
+ "text": "all",
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+ "start": 0.74,
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+ "end": 1.02,
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+ "confidence": 0.083
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+ },
49
+ {
50
+ "text": "around",
51
+ "start": 1.02,
52
+ "end": 1.24,
53
+ "confidence": 0.103
54
+ },
55
+ {
56
+ "text": "my",
57
+ "start": 1.24,
58
+ "end": 1.42,
59
+ "confidence": 0.129
60
+ },
61
+ {
62
+ "text": "business",
63
+ "start": 1.42,
64
+ "end": 1.62,
65
+ "confidence": 0.339
66
+ },
67
+ {
68
+ "text": "and",
69
+ "start": 1.62,
70
+ "end": 1.9,
71
+ "confidence": 0.613
72
+ },
73
+ {
74
+ "text": "we",
75
+ "start": 1.9,
76
+ "end": 1.98,
77
+ "confidence": 0.938
78
+ },
79
+ {
80
+ "text": "gotta",
81
+ "start": 1.98,
82
+ "end": 2.16,
83
+ "confidence": 0.402
84
+ },
85
+ {
86
+ "text": "eat",
87
+ "start": 2.16,
88
+ "end": 2.38,
89
+ "confidence": 0.246
90
+ },
91
+ {
92
+ "text": "recommendations",
93
+ "start": 2.38,
94
+ "end": 2.84,
95
+ "confidence": 0.111
96
+ },
97
+ {
98
+ "text": "for",
99
+ "start": 2.84,
100
+ "end": 3.48,
101
+ "confidence": 0.236
102
+ },
103
+ {
104
+ "text": "you",
105
+ "start": 3.48,
106
+ "end": 3.62,
107
+ "confidence": 0.95
108
+ },
109
+ {
110
+ "text": "on",
111
+ "start": 3.62,
112
+ "end": 3.82,
113
+ "confidence": 0.774
114
+ },
115
+ {
116
+ "text": "your",
117
+ "start": 3.82,
118
+ "end": 4.36,
119
+ "confidence": 0.598
120
+ },
121
+ {
122
+ "text": "door",
123
+ "start": 4.36,
124
+ "end": 4.62,
125
+ "confidence": 0.113
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+ },
127
+ {
128
+ "text": "to",
129
+ "start": 4.62,
130
+ "end": 4.84,
131
+ "confidence": 0.194
132
+ },
133
+ {
134
+ "text": "the",
135
+ "start": 4.84,
136
+ "end": 4.9,
137
+ "confidence": 0.457
138
+ },
139
+ {
140
+ "text": "VA",
141
+ "start": 4.9,
142
+ "end": 5.28,
143
+ "confidence": 0.23
144
+ }
145
+ ]
146
+ },
147
+ {
148
+ "id": 1,
149
+ "seek": 0,
150
+ "start": 5.28,
151
+ "end": 6.82,
152
+ "text": " We have 18A's",
153
+ "tokens": [
154
+ 492,
155
+ 362,
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+ 2443,
157
+ 32,
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+ 311
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+ ],
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+ "temperature": 0.0,
161
+ "avg_logprob": -0.4247800021701389,
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+ "compression_ratio": 6.281818181818182,
163
+ "no_speech_prob": 0.3518604338169098,
164
+ "confidence": 0.189,
165
+ "words": [
166
+ {
167
+ "text": "We",
168
+ "start": 5.28,
169
+ "end": 5.6,
170
+ "confidence": 0.056
171
+ },
172
+ {
173
+ "text": "have",
174
+ "start": 5.6,
175
+ "end": 5.72,
176
+ "confidence": 0.61
177
+ },
178
+ {
179
+ "text": "18A's",
180
+ "start": 5.72,
181
+ "end": 6.82,
182
+ "confidence": 0.191
183
+ }
184
+ ]
185
+ },
186
+ {
187
+ "id": 2,
188
+ "seek": 700,
189
+ "start": 7.02,
190
+ "end": 24.14,
191
+ "text": " I'm all around my business and I'm all around my business and I'm all around my business",
192
+ "tokens": [
193
+ 286,
194
+ 478,
195
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196
+ 926,
197
+ 452,
198
+ 1606,
199
+ 293,
200
+ 286,
201
+ 478,
202
+ 439,
203
+ 926,
204
+ 452,
205
+ 1606,
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+ 293,
207
+ 286,
208
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209
+ 439,
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+ 926,
211
+ 452,
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+ 1606
213
+ ],
214
+ "temperature": 0.0,
215
+ "avg_logprob": -0.8006511529286703,
216
+ "compression_ratio": 2.1463414634146343,
217
+ "no_speech_prob": 0.1812065988779068,
218
+ "confidence": 0.476,
219
+ "words": [
220
+ {
221
+ "text": "I'm",
222
+ "start": 7.02,
223
+ "end": 11.1,
224
+ "confidence": 0.124
225
+ },
226
+ {
227
+ "text": "all",
228
+ "start": 11.1,
229
+ "end": 13.62,
230
+ "confidence": 0.143
231
+ },
232
+ {
233
+ "text": "around",
234
+ "start": 13.62,
235
+ "end": 13.66,
236
+ "confidence": 0.517
237
+ },
238
+ {
239
+ "text": "my",
240
+ "start": 13.66,
241
+ "end": 13.7,
242
+ "confidence": 0.294
243
+ },
244
+ {
245
+ "text": "business",
246
+ "start": 13.7,
247
+ "end": 13.74,
248
+ "confidence": 0.931
249
+ },
250
+ {
251
+ "text": "and",
252
+ "start": 13.74,
253
+ "end": 14.08,
254
+ "confidence": 0.249
255
+ },
256
+ {
257
+ "text": "I'm",
258
+ "start": 14.08,
259
+ "end": 14.48,
260
+ "confidence": 0.379
261
+ },
262
+ {
263
+ "text": "all",
264
+ "start": 14.48,
265
+ "end": 14.68,
266
+ "confidence": 0.368
267
+ },
268
+ {
269
+ "text": "around",
270
+ "start": 14.68,
271
+ "end": 14.72,
272
+ "confidence": 0.892
273
+ },
274
+ {
275
+ "text": "my",
276
+ "start": 14.72,
277
+ "end": 14.76,
278
+ "confidence": 0.743
279
+ },
280
+ {
281
+ "text": "business",
282
+ "start": 14.76,
283
+ "end": 14.8,
284
+ "confidence": 0.981
285
+ },
286
+ {
287
+ "text": "and",
288
+ "start": 14.8,
289
+ "end": 15.04,
290
+ "confidence": 0.391
291
+ },
292
+ {
293
+ "text": "I'm",
294
+ "start": 15.04,
295
+ "end": 16.06,
296
+ "confidence": 0.861
297
+ },
298
+ {
299
+ "text": "all",
300
+ "start": 16.06,
301
+ "end": 16.12,
302
+ "confidence": 0.674
303
+ },
304
+ {
305
+ "text": "around",
306
+ "start": 16.12,
307
+ "end": 16.8,
308
+ "confidence": 0.932
309
+ },
310
+ {
311
+ "text": "my",
312
+ "start": 16.8,
313
+ "end": 21.82,
314
+ "confidence": 0.765
315
+ },
316
+ {
317
+ "text": "business",
318
+ "start": 21.82,
319
+ "end": 24.14,
320
+ "confidence": 0.977
321
+ }
322
+ ]
323
+ },
324
+ {
325
+ "id": 3,
326
+ "seek": 3100,
327
+ "start": 31.24,
328
+ "end": 36.52,
329
+ "text": " I got a little bit of a problem with that, and you want to have the advice down",
330
+ "tokens": [
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+ 286,
332
+ 658,
333
+ 257,
334
+ 707,
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+ 857,
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+ 295,
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+ 1154,
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+ 365,
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+ 11,
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+ 293,
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+ 291,
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+ 528,
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+ 281,
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+ 362,
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+ 264,
348
+ 5192,
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+ 760
350
+ ],
351
+ "temperature": 0.0,
352
+ "avg_logprob": -1.0431414517489346,
353
+ "compression_ratio": 1.8074866310160427,
354
+ "no_speech_prob": 0.09527108818292618,
355
+ "confidence": 0.336,
356
+ "words": [
357
+ {
358
+ "text": "I",
359
+ "start": 31.24,
360
+ "end": 31.66,
361
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