
TTS model trained with Montreal Forced Aligner.

To replicate or continue training from the given checkpoint, download [LJSpeech](https://keithito.com/LJ-Speech-Dataset/),
install [MFA](https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner)
and follow the steps [here](https://github.com/espnet/espnet/blob/master/egs2/TEMPLATE/tts1/README.md).
I recommend downloading the [pretrained MFA models](https://mfa-models.readthedocs.io/en/latest/) and running `mfa.sh` with `--train false`.
This would help to save time, but one disadvantage is you have to use the MFA g2p for inference (which has a non-standard phoneme set).
{"language": "en", "license": "cc-by-4.0", "tags": ["espnet", "audio", "text-to-speech"], "datasets": ["ljspeech"]}
espnet audio text-to-speech en dataset:ljspeech license:cc-by-4.0 region:us
TAGS
#espnet #audio #text-to-speech #en #dataset-ljspeech #license-cc-by-4.0 #region-us 


TTS model trained with Montreal Forced Aligner.

To replicate or continue training from the given checkpoint, download LJSpeech,
install MFA
and follow the steps here.
I recommend downloading the pretrained MFA models and running 'URL' with '--train false'.
This would help to save time, but one disadvantage is you have to use the MFA g2p for inference (which has a non-standard phoneme set).
TAGS
#espnet #audio #text-to-speech #en #dataset-ljspeech #license-cc-by-4.0 #region-us 

TAGS
#espnet #audio #text-to-speech #en #dataset-ljspeech #license-cc-by-4.0 #region-us 
