Comments (4)
I have this library for TTS, which is very fast imho. I'm working on coqui Integration there currently. Especially their new XTTS model is quite impressing for realtime TTS.
from realtimestt.
How do we use them together? The same files of TTS are present in STT as well. So was a little confused
from realtimestt.
There are some test files that show how to use both libraries together, like translator.py or openai_voice_interface.py. I copied some of these into both libs' test folder, I'm sorry that this caused confusion.
from realtimestt.
Hi, absolutely no worries. Thanks for the great work :)
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Related Issues (20)
- Add a "on_recorded" function OR fix on_recorded_chunk HOT 5
- Apple Neural Engine integration? HOT 2
- Cuda Error HOT 7
- Launches but does not display any text HOT 5
- How to connect to local computer's mic to RealtimeSTT on a remote cloud server? HOT 4
- How to pass audio file and transcribe it HOT 3
- Example for using remote GPU server? HOT 1
- [Feature request] Update porcupine version for use with macOS arm HOT 2
- transcribing multiple audio streams simultaneously HOT 2
- [Feature Request] Custom wakeword file HOT 2
- No Internet Connection HOT 4
- How to choose the CUDA version?
- How to choose the CUDA version? HOT 2
- the on_realtime_transcription_update text issue HOT 3
- CUDA initialization error on current master HOT 1
- Porcupine integration on Mac HOT 1
- pyaudio Invalid number of channels HOT 1
- Float 16 to Float 32 quantization HOT 19
- recorder.text(process_text) does not stop recording HOT 6
- Support GPT-SoVITS TTS
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