speaker
string | session_id
string | end_time
float64 | start_time
float64 | words
string |
---|---|---|---|---|
speaker2 | session_014b5cda | 35.06 | 29.75 | so this is the part where we could just kind of talk about whatever fifteen minutes |
speaker2 | session_014b5cda | 39.96 | 36.25 | uhhh so what else is new have you seen any good shows recently |
speaker1 | session_014b5cda | 52.81 | 39.25 | ummm shows i saw uhhh ben adernon cadwalder andrew jackson jid play at pin last week yeah it was weird |
speaker4 | session_014b5cda | 43.26 | 42.55 | i sell |
speaker2 | session_014b5cda | 50.81 | 49.35 | uhhh spanish |
speaker4 | session_014b5cda | 52.71 | 51.35 | it was |
speaker2 | session_014b5cda | 55.06 | 54 | gonna get her |
speaker1 | session_014b5cda | 58.91 | 54.65 | yeah i don't know weird to me |
speaker4 | session_014b5cda | 57.96 | 56.6 | the idea of that place is kind of |
speaker2 | session_014b5cda | 60.61 | 58.35 | yeah like the hipster frat |
speaker1 | session_014b5cda | 62.86 | 60.05 | yeah hipster frat house |
speaker4 | session_014b5cda | 61.76 | 60.3 | yeah headster fry house |
speaker2 | session_014b5cda | 65.96 | 61.35 | yeah he used to be a hippie frat when i first came to penn they were like |
speaker1 | session_014b5cda | 66.01 | 65.25 | really |
speaker2 | session_014b5cda | 69.56 | 66.85 | pot glazing acid taken |
speaker2 | session_014b5cda | 74.71 | 70.25 | kids they were really they were really out there yeah no it's like a hipster |
speaker1 | session_014b5cda | 75.91 | 75.1 | okay |
speaker3 | session_014b5cda | 75.81 | 75.3 | yeah |
speaker2 | session_014b5cda | 78.26 | 75.55 | what day is it two days is seven |
speaker1 | session_014b5cda | 78.56 | 77.7 | yup |
speaker4 | session_014b5cda | 78.56 | 77.95 | yup |
speaker1 | session_014b5cda | 84.81 | 83.1 | yeah it was weird ummm |
speaker4 | session_014b5cda | 84.01 | 83.4 | it was weird |
speaker1 | session_014b5cda | 117.76 | 85.75 | different crowds like punks and hipsters that i don't know kind of like clashes ummm well the one band andrew jackson jid i really like their albums and stuff but they like play like it didn't sound that good because a mandolin in an upright bass yeah so it was kind of like the sound wasn't that good there i don't know you might have listened to them i don't know |
speaker4 | session_014b5cda | 86.31 | 85.8 | it's like |
speaker3 | session_014b5cda | 96.36 | 95.05 | what were the bands did |
speaker4 | session_014b5cda | 99.06 | 96.7 | ummm well the one down and |
speaker2 | session_014b5cda | 108.91 | 107.55 | that's it |
speaker2 | session_014b5cda | 115.36 | 113.2 | it sounds like something they gave it like |
speaker4 | session_014b5cda | 117.01 | 115.45 | yeah he probably would he would list |
speaker1 | session_014b5cda | 123.81 | 118.8 | but the other band was awesome ummm they're algernon cadwalder |
speaker4 | session_014b5cda | 122.46 | 119.65 | that's awesome |
speaker2 | session_014b5cda | 121.61 | 120.8 | what are they called |
speaker1 | session_014b5cda | 130.06 | 124.8 | they're like just some guys from philly and i've seen them like a handful of times |
speaker1 | session_014b5cda | 133.31 | 130.75 | it's always fun though you're like kind of like |
speaker1 | session_014b5cda | 143.51 | 134.5 | they they're like a type of band that like you don't think would come out today they're like more like sound like they'd be like from the nineties kind of like modest mousy like |
speaker1 | session_014b5cda | 147.26 | 146 | they're pretty cool though |
speaker4 | session_014b5cda | 146.81 | 146.3 | pretty cool |
speaker2 | session_014b5cda | 150.81 | 146.75 | ummm i saw the war on drugs on wednesday night yeah i like them |
speaker1 | session_014b5cda | 152.06 | 149 | oh really i wanted to see them |
speaker4 | session_014b5cda | 150.51 | 150 | hmmm |
speaker2 | session_014b5cda | 153.96 | 151.6 | they paid for free at penn treaty park |
speaker1 | session_014b5cda | 157.71 | 153.5 | really yeah they always play over uhhh kung fu necktie yeah |
speaker2 | session_014b5cda | 157.36 | 156.5 | really |
speaker1 | session_014b5cda | 159.81 | 158.6 | i've yet to go |
speaker4 | session_014b5cda | 159.21 | 158.75 | i get |
speaker2 | session_014b5cda | 163.56 | 160.5 | ummm yeah i'm going there tonight i've never been there before |
speaker1 | session_014b5cda | 165.76 | 164.15 | oh oh you're doing that tonight |
speaker4 | session_014b5cda | 164.71 | 164.25 | okay |
speaker2 | session_014b5cda | 171.46 | 166.15 | no i saw war on drugs on wednesday but i'm going to next tonight for a show |
speaker1 | session_014b5cda | 171.46 | 167.35 | oh okay okay okay who's playing tonight |
speaker2 | session_014b5cda | 175.71 | 172.15 | gang i think it's a friend of mine's friends i don't know |
speaker1 | session_014b5cda | 176.06 | 175.2 | okay |
speaker1 | session_014b5cda | 184.51 | 182.8 | i'm not sure what i'm doing tonight |
speaker3 | session_014b5cda | 183.21 | 182.8 | yeah |
speaker1 | session_014b5cda | 188.26 | 186 | neighborhoods for all day |
speaker2 | session_014b5cda | 186.41 | 186 | yeah |
speaker4 | session_014b5cda | 187.96 | 186.85 | deal with this girl today |
speaker2 | session_014b5cda | 192.81 | 188.85 | you're going or you went on this like like early evening kind of thing |
speaker1 | session_014b5cda | 190.96 | 189.5 | yeah i'm going |
speaker1 | session_014b5cda | 194.11 | 192.45 | yeah |
speaker2 | session_014b5cda | 194.56 | 193.55 | first friday |
speaker4 | session_014b5cda | 193.96 | 193.55 | yeah |
speaker4 | session_014b5cda | 196.06 | 195.05 | that's a good idea |
speaker1 | session_014b5cda | 202.36 | 195.05 | i didn't even think of that i had no idea like she told me to just figure out whatever i wanted to do that's good |
speaker2 | session_014b5cda | 202.81 | 201.75 | yeah |
speaker2 | session_014b5cda | 205.31 | 203.5 | uhhh who how do you know her |
speaker4 | session_014b5cda | 204.76 | 204.3 | yeah |
speaker1 | session_014b5cda | 208.81 | 204.55 | ummm i met her through my friend scottty ummm |
speaker1 | session_014b5cda | 214.06 | 209.65 | and i've i've hung out with her like twice before but she's pretty cool |
speaker4 | session_014b5cda | 211.46 | 211 | hmmm |
speaker4 | session_014b5cda | 213.06 | 212.55 | uhhh huh |
speaker2 | session_014b5cda | 219.31 | 217.05 | ummm do you know what classes you're taking |
speaker1 | session_014b5cda | 219.91 | 219.5 | ummm |
speaker4 | session_014b5cda | 219.91 | 219.5 | yeah |
speaker1 | session_014b5cda | 233.56 | 221.1 | i really need to see an like an advisor because i'm in i want to like change my major again to uhhh education i want to do like vocational education like woodshop kind of stuff |
speaker2 | session_014b5cda | 227.21 | 226.55 | uhhh what |
speaker2 | session_014b5cda | 230.31 | 229.75 | oh cool |
speaker1 | session_014b5cda | 259.81 | 234.5 | ummm and i i still have like i think like five or six more core classes that i have to take so i'm just signed up for them right now because i can't like get into any of the classes that i need cause i'm it's not my major yet so i need to go see her i emailed her like last week and she told me to talk to her in september but yeah so i don't really know what the deal is with that |
speaker4 | session_014b5cda | 256.21 | 255.75 | nine |
speaker4 | session_014b5cda | 257.56 | 257.15 | okay |
speaker1 | session_014b5cda | 263.31 | 261.1 | but yeah so i'm just taking like |
speaker4 | session_014b5cda | 261.51 | 261.1 | hmmm |
speaker4 | session_014b5cda | 263.31 | 262.75 | okay |
speaker1 | session_014b5cda | 272.31 | 264 | uhhh an algebar class and then i think a science class i'm not sure i just signed up for everything like |
speaker2 | session_014b5cda | 274.36 | 271.45 | but i mean these are the classes you would have to take |
speaker1 | session_014b5cda | 277.71 | 273.6 | yeah i'd i'd have to take him anyway so yeah |
speaker2 | session_014b5cda | 280.56 | 275.15 | yeah you might as well get him out of the way smart i never did like a whole semester of just |
speaker2 | session_014b5cda | 282.81 | 281.25 | uhhh we may do like early on |
speaker2 | session_014b5cda | 288.51 | 283.55 | but i always felt like even at the end of like my senior year i was still like picking up |
speaker2 | session_014b5cda | 290.86 | 289.1 | requirements that i didn't |
speaker1 | session_014b5cda | 291.31 | 290.45 | yeah |
speaker4 | session_014b5cda | 291.21 | 290.55 | yeah |
speaker2 | session_014b5cda | 293.26 | 291.8 | it's good to get him out of the way |
speaker1 | session_014b5cda | 299.51 | 292.6 | yeah i feel like it would be good to save them also because that way it's like a little bit break from harder classes you know |
speaker4 | session_014b5cda | 294.21 | 293.75 | actually |
speaker4 | session_014b5cda | 299.26 | 298.4 | class is gonna |
speaker2 | session_014b5cda | 311.01 | 299.8 | but you know what when you're like a senior it's really annoying to have like bullshit work like have work where you're like just like doing homework for the sake of doing homework |
speaker1 | session_014b5cda | 301.31 | 300.7 | yeah |
speaker1 | session_014b5cda | 310.86 | 308.7 | yeah that's true |
End of preview. Expand
in Dataset Viewer.
Dataset Name: Dataset for ASR Speaker-Tagging Corrections (Speaker Diarization)
Description
- This dataset is pairs of erroneous ASR output and speaker tagging, which are generated from a ASR system and speaker diarization system. Each source erroneous transcription is paired with human-annotated transcription, which has correct transcription and speaker tagging.
- SEGment-wise Long-form Speech Transcription annotation (
SegLST
), the file format used in the CHiME challenges
Example) session_ge1nse2c.seglst.json
[
...
{
"session_id": "session_ge1nse2c",
"words": "well that is the problem we have erroneous transcript and speaker tagging we want to correct it using large language models",
"start_time": 181.88,
"end_time": 193.3,
"speaker": "speaker1"
},
{
"session_id": "session_ge1nse2c",
"words": "it seems like a really interesting problem I feel that we can start with very simple methods",
"start_time": 194.48,
"end_time": 205.03,
"speaker": "speaker2"
},
...
]
Structure
Data Split
The dataset is divided into training and test splits:
- Development Data: 142 entries
- 2 to 4 speakers in each session
- Approximately 10 ~ 40 mins of recordings
- Evaluation Data: 104 entries
- 2 to 4 speakers in each session
- Approximately 10 ~ 40 mins of recordings
Keys (items)
session_id
: "session_ge1nse2c",words
: Transcription corresponding to the time stamp (start, end).start_time
: Start time in second.end_time
: End time in second.speaker
: Speaker tagging in string "speaker<N>"
Source Datasets
err_source_text
: This is the erroneous ASR-Diarization results to be fixed. Has dev, eval folders
ref_annotated_text
: This is the human annotated ground-truth for evaluation. Only dev split is included.
Development Sources:
dev
: 142 sessions
Evaluation Sources:
eval
: 104 Sessions
Access
The dataset can be accessed and downloaded through the HuggingFace Datasets library.
Evaluation
This dataset can be evaluated by MeetEval Software
From PyPI
pip install meeteval
From source
git clone https://github.com/fgnt/meeteval
pip install -e ./meeteval
Evaluate the corrected segLST files:
python -m meeteval.wer cpwer -h err_source_text/dev/session_ge1nse2c.json -r ref_annotate_text/dev/session_ge1nse2c.json
Or after installation, you can use the following command alternatively.
meeteval-wer cpwer -h err_source_text/dev/session_ge1nse2c.json -r ref_annotate_text/dev/session_ge1nse2c.json
References
@inproceedings{park2024enhancing,
title={Enhancing speaker diarization with large language models: A contextual beam search approach},
author={Park, Tae Jin and Dhawan, Kunal and Koluguri, Nithin and Balam, Jagadeesh},
booktitle={ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={10861--10865},
year={2024},
organization={IEEE}
}
@InProceedings{MeetEval23,
title={MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems},
author={von Neumann, Thilo and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold},
booktitle={CHiME-2023 Workshop, Dublin, England},
year={2023}
}
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