Edresson Casanova f81892483d REBASED: Transform Speaker Encoder in a Generic Encoder and Implement 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		2022-03-11 14:43:40 +01:00
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__init__.py	refactor and fix multi-speaker training in Trainer and Tacotron models	2021-06-28 17:03:19 +02:00
test_dataset_formatters.py	Update TTS.tts formatters (#1228)	2022-02-11 23:03:43 +01:00
test_loader.py	Make style and lint	2022-03-02 13:25:35 +01:00
test_samplers.py	REBASED: Transform Speaker Encoder in a Generic Encoder and Implement Emotion Encoder training support (#1349)	2022-03-11 14:43:40 +01:00