Setting the synthesizer sentence segmenter for a given language

[polirritmico]

Hi! Great project.

Currently the pySBD segmenter is hardcoded to english:

class Synthesizer(nn.Module):
    def __init__(
        self,
        *,
        tts_checkpoint: str | os.PathLike[Any] | None = None,
        tts_config_path: str | os.PathLike[Any] | None = None,
        tts_speakers_file: str | os.PathLike[Any] | None = None,
        tts_languages_file: str | os.PathLike[Any] | None = None,
        vocoder_checkpoint: str | os.PathLike[Any] | None = None,
        vocoder_config: str | os.PathLike[Any] | None = None,
        encoder_checkpoint: str | os.PathLike[Any] | None = None,
        encoder_config: str | os.PathLike[Any] | None = None,
        vc_checkpoint: str | os.PathLike[Any] | None = None,
        vc_config: str | os.PathLike[Any] | None = None,
        model_dir: str | os.PathLike[Any] | None = None,
        voice_dir: str | os.PathLike[Any] | None = None,
        use_cuda: bool = False,
    ) -> None:
        # etc.
        self.seg = self._get_segmenter("en")

It would be great if that parameter could be set somehow. I don't fully understand the api, so I can't confidently suggest an appropriate approach to achieve this, but maybe following the language arg in the tts_to_file call?

Thanks.

[eginhard]

Yes, if the output of that is not appropriate for your language, the best workaround would be to split the input into sentences yourself and pass them to Coqui separately.

In terms of improvements, the most useful would probably be to also allow passing a user-defined sentence splitter. I'm unlikely to work on this myself though.