* add add cli options for play and speed
--play argument uses simpleaudio to play the tts wav
--speed <float 0.0-2.0> passes speed argument to Coqui Studio models
* remove simpleaudio not referenced in file
* fix simpleaudio dependency version
* add ALSA headers for simpleaudio compilation
* Dockerfile ALSA headers for simpleaudio
* base changes to use stdout instead of play audio
Considering conversion to pipe wav data for audio playback with ohter program
like aplay.
This is incomplete code. Using to get feedback before proceeding with
implementation.
* remove play for pipe_out arg that suppresses stdout
removed play and simpleaudio dependency in place of pipe
fuctionality to allow passing wav file data to a program
dedicated to playing audio.
* scipy.io.wavfile.write fails with /dev/null target
* Streaming inference for XTTS 🚀 (#3035)
* v0.17.7
* Redownload XTTS with the local and remote config do not match
* Remove unused method
* Print a message when it is already donwloaded
* Try-except to present error when the user dont have connection
* Fix style
* 0.17.8
* v0.17.8
---------
Co-authored-by: Julian Weber <julian.weber@hotmail.fr>
Co-authored-by: Eren Gölge <erogol@hotmail.com>
Co-authored-by: Edresson Casanova <edresson1@gmail.com>
Co-authored-by: ggoknar <ggoknar@coqui.ai>
* Warn when lang is not avail
* Make style
* Implement Coqui Studio API
* Test
* Update docs
* Set action
* Make style
* Make lint
* Update README
* Make style
* Fix action
* Run actions
Running the sample code below results in an error `language_id = self.tts_model.language_manager.name_to_id[language_name]`.
The fix is running the code with the correct language strings, the readme has been updated in this PR to work.
I assume this small typo leads to #2456 and #2458
* Adding neural HMM TTS
* Adding tests
* Adding neural hmm on readme
* renaming training recipe
* Removing overflow\s decoder parameters from the config
* Update the Trainer requirement version for a compatible one (#2276)
* Bump up to v0.10.2
* Adding neural HMM TTS
* Adding tests
* Adding neural hmm on readme
* renaming training recipe
* Removing overflow\s decoder parameters from the config
* fixing documentation
Co-authored-by: Edresson Casanova <edresson1@gmail.com>
Co-authored-by: Eren Gölge <erogol@hotmail.com>
* Adding encoder
* currently modifying hmm
* Adding hmm
* Adding overflow
* Adding overflow setting up flat start
* Removing runs
* adding normalization parameters
* Fixing models on same device
* Training overflow and plotting evaluations
* Adding inference
* At the end of epoch the test sentences are coming on cpu instead of gpu
* Adding figures from model during training to monitor
* reverting tacotron2 training recipe
* fixing inference on gpu for test sentences on config
* moving helpers and texts within overflows source code
* renaming to overflow
* moving loss to the model file
* Fixing the rename
* Model training but not plotting the test config sentences's audios
* Formatting logs
* Changing model name to camelcase
* Fixing test log
* Fixing plotting bug
* Adding some tests
* Adding more tests to overflow
* Adding all tests for overflow
* making changes to camel case in config
* Adding information about parameters and docstring
* removing compute_mel_statistics moved statistic computation to the model instead
* Added overflow in readme
* Adding more test cases, now it doesn't saves transition_p like tensor and can be dumped as json
* Update requirements
* Update CI for p3.10
* Update numpy requirement
* Drop 🐍p3.6 support
Numpy also dropped support for p3.6
* Bind cython v0.29.28
* Bind pyworld to v0.2.10
> 0.2.10 is not p3.10.x compatible
* Update Dockerfile
