mirror of https://github.com/coqui-ai/TTS.git
* 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 |
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.. | ||
__init__.py | ||
test_align_tts_train.py | ||
test_fast_pitch_speaker_emb_train.py | ||
test_fast_pitch_train.py | ||
test_feed_forward_layers.py | ||
test_forward_tts.py | ||
test_glow_tts.py | ||
test_glow_tts_d-vectors_train.py | ||
test_glow_tts_speaker_emb_train.py | ||
test_glow_tts_train.py | ||
test_helpers.py | ||
test_speedy_speech_train.py | ||
test_tacotron2_d-vectors_train.py | ||
test_tacotron2_model.py | ||
test_tacotron2_speaker_emb_train.py | ||
test_tacotron2_train.py | ||
test_tacotron2_train_fsspec_path.py | ||
test_tacotron_layers.py | ||
test_tacotron_model.py | ||
test_tacotron_train.py | ||
test_vits.py | ||
test_vits_d-vectors_train.py | ||
test_vits_multilingual_speaker_emb_train.py | ||
test_vits_multilingual_train-d_vectors.py | ||
test_vits_speaker_emb_train.py | ||
test_vits_train.py |