v0.6.2 #1353
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v0.6.2 #1353
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* Fix recipes -> #1366 * Fix trainer docs
…ctrograms (#1348) * Add support for the speaker encoder training using torch spectrograms * Remove useless function in speaker encoder dataset class
* Add alphas to control language and speaker balancer * Add docs for speaker and language samplers * Change the Samplers weights to float for save memory * Change the test_samplers to unittest format * Add get_sampler method in BaseTTS * Fix rebase issues * Add language and speaker samplers support for DDP training * Rename distributed sampler wrapper * Remove the DistributedSamplerWrapper and use the one from Trainer * Bugfix after rebase * Move the samplers config to tts config
* Add support for voice conversion inference * Cache d_vectors_by_speaker for fast inference using a bigger speakers.json * Rebase bug fix * Use the average d-vector for inference
* Add bug_report template * Fix typos
* Add support for voice conversion inference * Cache d_vectors_by_speaker for fast inference using a bigger speakers.json * Rebase bug fix * Use the average d-vector for inference * Fix the bug in find unique chars script * Add OpenBible formatter Co-authored-by: Eren Gölge <erogol@hotmail.com>
… Emotion Encoder training support (#1349) * Rename Speaker encoder module to encoder * Add a generic emotion dataset formatter * Transform the Speaker Encoder dataset to a generic dataset and create emotion encoder config * Add class map in emotion config * Add Base encoder config * Add evaluation encoder script * Fix the bug in plot_embeddings * Enable Weight decay for encoder training * Add argumnet to disable storage * Add Perfect Sampler and remove storage * Add evaluation during encoder training * Fix lint checks * Remove useless config parameter * Active evaluation in speaker encoder test and use multispeaker dataset for this test * Unit tests fixs * Remove useless tests for speedup the aux_tests * Use get_optimizer in Encoder * Add BaseEncoder Class * Fix the unitests * Add Perfect Batch Sampler unit test * Add compute encoder accuracy in a function
* Update model file ext to ```.pth``` * Update docs * Rename more * Find model files
I don't need to add it manually. It is already available as Gruut supports it. |
* Fix manager * Make style
* Add style checks to `make lint` * Bump target-version in black config
Replace webrtcvad by silero-vad
* Fix the bug in freeze encoder * Remove emb_l definition for non-multilingual training * Fix unit tests
* Enforce phonemizer definition for synthesis * Fix train_tts, tokenizer init can now edit config * Add small change to trigger CI pipeline * fix wrong output path for one tts_test * Fix style * Test config overides by args and tokenizer * Fix style
* Fix enforce phonemizer * Add new models * Fix .model.json
fix header ``` ## Call for sharing language models ```
* Add african models * Set default license for all models
* Print model license while downloading * Make style * Add a new license link * Make style
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