Troubleshoot file writing problem.
Browse filesWork with coqui synthesis in memory so that file is never written. Switch espeakng to synthesize on command line with subprocess package.
- src/synthesize.py +12 -13
src/synthesize.py
CHANGED
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@@ -8,6 +8,7 @@ import subprocess
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from scipy.io import wavfile
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from transformers import pipeline
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import os
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def synth_mms(text:str, model:str):
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'''
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@@ -42,7 +43,9 @@ def synth_coqui(text:str, model:str):
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text: Text to synthesze
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model: Model code
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Returns:
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Streaming Wav and sampling rate.
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'''
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if model is not None:
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# Get device
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@@ -50,14 +53,11 @@ def synth_coqui(text:str, model:str):
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# Init TTS
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tts = TTS(model, progress_bar=False).to(device)
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-
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-
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-
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sampling_rate, wav = wavfile.read('test.wav')
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os.remove("test.wav")
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-
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return wav, sampling_rate
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else:
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return None
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@@ -74,12 +74,11 @@ def synth_espeakng(text:str, model:str):
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'''
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if model is not None:
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-
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esng = espeakng.Speaker()
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esng.voice = model
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esng.say(text, export_path="test.wav")
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print(os.listdir())
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sampling_rate, wav = wavfile.read('test.wav')
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os.remove("test.wav")
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from scipy.io import wavfile
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from transformers import pipeline
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import os
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import numpy as np
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def synth_mms(text:str, model:str):
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'''
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text: Text to synthesze
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model: Model code
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Returns:
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Streaming Wav and sampling rate.
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+
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IMPORTANT: Current implementation assumes 22050 sampling rate, this should be verified when adding a new model.
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'''
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if model is not None:
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# Get device
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# Init TTS
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tts = TTS(model, progress_bar=False).to(device)
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# Infer
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wav = tts.tts(text=text) # is_multi_speaker=False
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return np.array(wav), 22050
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else:
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return None
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'''
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if model is not None:
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subprocess.run(['espeak-ng', f'-v{model}', "-w test.wav", text])
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#esng = espeakng.Speaker()
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#esng.voice = model
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#esng.say(text, export_path="test.wav")
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sampling_rate, wav = wavfile.read('test.wav')
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os.remove("test.wav")
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