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test-rtechs
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8d827df
1
Parent(s):
54accfc
Update soni_translate/text_to_speech.py
Browse files- soni_translate/text_to_speech.py +12 -11
soni_translate/text_to_speech.py
CHANGED
@@ -15,6 +15,7 @@ from .utils import (
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remove_directory_contents,
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remove_files,
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run_command,
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)
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import numpy as np
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from typing import Any, Dict
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@@ -59,7 +60,7 @@ def error_handling_in_tts(error, segment, TRANSLATE_AUDIO_TO, filename):
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# Read audio data from the TemporaryFile using soundfile
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audio_data, samplerate = sf.read(f)
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f.close() # Close the TemporaryFile
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-
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filename, audio_data, samplerate, format="ogg", subtype="vorbis"
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)
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@@ -73,7 +74,7 @@ def error_handling_in_tts(error, segment, TRANSLATE_AUDIO_TO, filename):
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sample_rate_aux = 22050
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duration = float(segment["end"]) - float(segment["start"])
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data = np.zeros(int(sample_rate_aux * duration)).astype(np.float32)
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-
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filename, data, sample_rate_aux, format="ogg", subtype="vorbis"
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)
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logger.error("Audio will be replaced -> [silent audio].")
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@@ -181,7 +182,7 @@ def segments_egde_tts(filtered_edge_segments, TRANSLATE_AUDIO_TO, is_gui):
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# os.remove(temp_file)
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# Save file
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file=filename,
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samplerate=sample_rate,
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data=data,
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@@ -256,7 +257,7 @@ def segments_bark_tts(
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speech_output.cpu().numpy().squeeze().astype(np.float32),
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sampling_rate,
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)
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-
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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@@ -299,7 +300,7 @@ def uromanize(input_string):
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stderr=subprocess.PIPE,
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)
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stdout, stderr = process.communicate()
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-
script_path = os.path.join("./uroman", "
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command = ["perl", script_path]
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@@ -362,7 +363,7 @@ def segments_vits_tts(filtered_vits_segments, TRANSLATE_AUDIO_TO):
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sampling_rate,
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)
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# Save file
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-
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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@@ -667,7 +668,7 @@ def segments_coqui_tts(
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sampling_rate,
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)
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# Save file
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-
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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@@ -855,7 +856,7 @@ def segments_vits_onnx_tts(filtered_onnx_vits_segments, TRANSLATE_AUDIO_TO):
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sampling_rate,
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)
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# Save file
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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@@ -925,7 +926,7 @@ def segments_openai_tts(
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sampling_rate,
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)
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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@@ -1509,7 +1510,7 @@ def toneconverter_freevc(
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target_wav=original_wav_audio_segment,
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)
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file=save_path,
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samplerate=tts.voice_converter.vc_config.audio.output_sample_rate,
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data=wav,
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@@ -1571,4 +1572,4 @@ if __name__ == "__main__":
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tts_voice03="en-GB-SoniaNeural-Female",
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tts_voice04="en-NZ-MitchellNeural-Male",
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tts_voice05="en-GB-MaisieNeural-Female",
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-
)
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remove_directory_contents,
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remove_files,
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run_command,
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+
write_chunked,
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)
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import numpy as np
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from typing import Any, Dict
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# Read audio data from the TemporaryFile using soundfile
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audio_data, samplerate = sf.read(f)
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f.close() # Close the TemporaryFile
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write_chunked(
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filename, audio_data, samplerate, format="ogg", subtype="vorbis"
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)
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sample_rate_aux = 22050
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duration = float(segment["end"]) - float(segment["start"])
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data = np.zeros(int(sample_rate_aux * duration)).astype(np.float32)
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write_chunked(
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filename, data, sample_rate_aux, format="ogg", subtype="vorbis"
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)
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logger.error("Audio will be replaced -> [silent audio].")
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# os.remove(temp_file)
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# Save file
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write_chunked(
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file=filename,
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samplerate=sample_rate,
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data=data,
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speech_output.cpu().numpy().squeeze().astype(np.float32),
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sampling_rate,
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)
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write_chunked(
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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stderr=subprocess.PIPE,
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)
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stdout, stderr = process.communicate()
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script_path = os.path.join("./uroman", "uroman", "uroman.pl")
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command = ["perl", script_path]
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sampling_rate,
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)
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# Save file
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write_chunked(
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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sampling_rate,
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)
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# Save file
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write_chunked(
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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sampling_rate,
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)
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# Save file
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write_chunked(
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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sampling_rate,
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)
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write_chunked(
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file=filename,
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samplerate=sampling_rate,
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data=data_tts,
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target_wav=original_wav_audio_segment,
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)
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write_chunked(
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file=save_path,
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samplerate=tts.voice_converter.vc_config.audio.output_sample_rate,
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data=wav,
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tts_voice03="en-GB-SoniaNeural-Female",
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tts_voice04="en-NZ-MitchellNeural-Male",
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tts_voice05="en-GB-MaisieNeural-Female",
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+
)
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