UniSpeechSat is a speech model that accepts a float array corresponding to the raw waveform of the speech signal.
  Please use [Wav2Vec2Processor] for the feature extraction.
UniSpeechSat model can be fine-tuned using connectionist temporal classification (CTC) so the model output has to be
  decoded using [Wav2Vec2CTCTokenizer].
UniSpeechSat performs especially well on speaker verification, speaker identification, and speaker diarization tasks.
This model was contributed by patrickvonplaten. The Authors' code can be
found here.
UniSpeechSatConfig
[[autodoc]] UniSpeechSatConfig
UniSpeechSat specific outputs
[[autodoc]] models.unispeech_sat.modeling_unispeech_sat.UniSpeechSatBaseModelOutput
[[autodoc]] models.unispeech_sat.modeling_unispeech_sat.UniSpeechSatForPreTrainingOutput
UniSpeechSatModel
