 Implementation of Disfluencies in TextToSpeech
Any update on this? Hi @rodrigoGA, thanks for your interest in NeMo TTS toolkit. If sticking to our current phoneme-based TTS models, such as FastPitch, you have to add new IPA dictionary entries for those filler words, and better to have paired filler speech as well.  

So far as I know, we haven't added support for disfluencies synthesis yet, unless the training corpus has filler speech/text pairs and corresponding phonemes. 

If you have filler speech/text pairs, and can't figure out canonical phonemes for filler words, you may try to use grapheme-based tokenizer for FastPitch.  Hi, thanks for the detailed response. It's really interesting and useful to consider support for disfluency synthesis. I hope this feature will be considered for future training versions.
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I am working on a project that involves creating dialogues that sound spontaneous and natural. A key feature I would like to implement is the use of disfluencies (such as “Mm-hmm”) during moments when calculations are being made or there are pauses in the dialogue.

So far, I have experimented with using phonemes to create these disfluencies, but the results have not been satisfactory. It's possible that I haven't found the correct IPA pronunciation for these expressions. (If you have any IPA pronunciation suggestions to try, they would be greatly appreciated).

My questions are as follows:

- Is the integration of disfluencies in dialogue currently supported?
- If possible, could you recommend a strategy or approach to implement these disfluencies more naturally?
