-
Is it possible to have emotional TTS with this project? ( angry, joyfull, lamenting)
-
I trained some Chinese models with this work of yours and made a discovery:
The emotional pronunciation is quite good, but there is a lack of high-frequency information. The issue is that too much in…
-
Hi, I am one of the founders of LAION ( https://laion.ai ) - Open Voice is pretty cool and I wanted to get in touch for cooperating on emotional TTS and also training more versions in other languages.…
-
Hello,
Based on your code, I added Korean tokens (using a Korean emotional dataset) to the tokenizer and fine-tuned the model with the LibriTTS R dataset. The Korean dataset is slightly less than 3…
-
Just a quick FYI..
I've VERY QUICKLY (so bugs beware) added sherpa-onnx to this python tts-wrapper..
https://github.com/willwade/tts-wrapper?tab=readme-ov-file#sherpa-onnx
We do fun things l…
-
Mr. end-4, I know you want it too
-
Just wanted to bring this new TTS library+model to your attention which allows voice characteristics to be steered via a separate prompt:
https://github.com/huggingface/parler-tts (impressive demos…
-
In file `modules/attention.py` line 434-435
```
if atten_weights_ph is not None: # used for emotional gst tts inference
atten_weights = atten_weights_ph
```
When I run in…
-
```
I have submitted the following problem to Loquendo-Android TTS engineers, and I
am repeating it below for the AppInventor Team
I purchased Loquendo-Susan-TTS American English for Android HTC In…
-
Hello,
400 Hz is fine for read speech, but not suitable for expressive / emotional TTS applications. For example,
[0001_001491](https://github.com/espnet/espnet/files/11870982/0001_001491.txt) (p…