Speaking issues Coqui TTS Tacotron2 DDC model: Difference between revisions
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[[Category:TTS models]] | [[Category:TTS models]] | ||
[[Category:Pronunciation issues]] | [[Category:Pronunciation issues]] | ||
== General == | |||
Most models are trained with a dot, exclamation or question mark at the end. So always end a sentence to avoid model synthesizing weird output. | |||
*TTS model: tts_models/en/ljspeech/tacotron2-DDC | *TTS model: tts_models/en/ljspeech/tacotron2-DDC | ||
*Vocoder model: vocoder_models/en/ljspeech/hifigan_v2 | *Vocoder model: vocoder_models/en/ljspeech/hifigan_v2 | ||
==Input string formatting== | ==Input string formatting== | ||
Revision as of 00:03, 2 November 2021
General
Most models are trained with a dot, exclamation or question mark at the end. So always end a sentence to avoid model synthesizing weird output.
- TTS model: tts_models/en/ljspeech/tacotron2-DDC
- Vocoder model: vocoder_models/en/ljspeech/hifigan_v2
Input string formatting
Phrases ending in "ah"
"ah" at end of sentence generally produces strange results. Short names produce a 12 second clip.
Examples:
- Nelson Mandela
- pergola
Mitigation
If at the end of the input, adding punctuation to the end synthesizes correctly:
Example "Nelson Mandela" > "Nelson Mandela."
Acronyms
To speak acronyms as letters it needs to be formatted as:
"A. B. C. news"
Not:
"ABC news" "A.B.C. news"
Mispronounced Words
- video