0.10.0
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16 changed files with 260 additions and 70 deletions
39
config/pre_process_map.default.yaml
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39
config/pre_process_map.default.yaml
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# regex pairs to clean the text before speaking
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- - ([^.])\.$
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- \1
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- - '&'
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- '&'
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- - '<'
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- <
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- - '>'
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- '>'
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- - '"'
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- '"'
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- - '''
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- ''''
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- - '©'
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- '©'
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- - '®'
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- '®'
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- - ' '
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- ' '
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- - '"'
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- ''
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- - ' biases '
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- ' bias''s '
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- - ex\.
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- for example
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- - e\.g\.
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- for example
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- - ' ESG '
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- ' E.S.G. '
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- - ' FY '
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- ' F.Y. '
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- - ([0-9]+)-([0-9]+)
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- \1 to \2
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- - '[\U0001F600-\U0001F64F\U0001F300-\U0001F5FF\U0001F680-\U0001F6FF\U0001F700-\U0001F77F\U0001F780-\U0001F7FF\U0001F800-\U0001F8FF\U0001F900-\U0001F9FF\U0001FA00-\U0001FA6F\U0001FA70-\U0001FAFF\U00002702-\U000027B0\U000024C2-\U0001F251]+'
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- ''
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- - '\*\*\*'
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- '*'
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- - '\*\*'
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- '*'
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56
config/voice_to_speaker.default.yaml
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config/voice_to_speaker.default.yaml
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tts-1:
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some_other_voice_name_you_want:
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model: voices/choose your own model.onnx
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speaker: set your own speaker
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alloy:
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model: voices/en_US-libritts_r-medium.onnx
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speaker: 79 # 64, 79, 80, 101, 130
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echo:
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model: voices/en_US-libritts_r-medium.onnx
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speaker: 134 # 52, 102, 134
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echo-alt:
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model: voices/en_US-ryan-high.onnx
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speaker: # default speaker
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fable:
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model: voices/en_GB-northern_english_male-medium.onnx
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speaker: # default speaker
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onyx:
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model: voices/en_US-libritts_r-medium.onnx
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speaker: 159 # 55, 90, 132, 136, 137, 159
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nova:
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model: voices/en_US-libritts_r-medium.onnx
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speaker: 107 # 57, 61, 107, 150, 162
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shimmer:
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model: voices/en_US-libritts_r-medium.onnx
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speaker: 163
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tts-1-hd:
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alloy:
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model: xtts
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speaker: voices/alloy-alt.wav
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alloy-orig:
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model: xtts
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speaker: voices/alloy.wav # it's REALLY BAD
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echo:
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model: xtts
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speaker: voices/echo.wav
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fable:
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model: xtts
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speaker: voices/fable.wav
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onyx:
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model: xtts
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speaker: voices/onyx.wav
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nova:
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model: xtts
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speaker: voices/nova.wav
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shimmer:
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model: xtts
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speaker: voices/shimmer.wav
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me:
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model: xtts_v2.0.2 # you can specify different xtts version
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speaker: voices/me.wav # this could be you
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parler:
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model: parler-tts/parler_tts_mini_v0.1
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speaker: A female speaker with a slightly low-pitched voice delivers her words quite expressively, in a very confined sounding environment with clear audio quality. She speaks very fast.
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parler2:
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model: parler-tts/parler_tts_mini_v0.1
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speaker: A female voice with an Indian accent enunciates every word with precision. The speaker's voice is very close-sounding, and the recording is excellent, capturing her voice with crisp clarity.
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