EMFORMER_RNNT_BASE_TEDLIUM3

torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3

Pre-trained Emformer-RNNT-based ASR pipeline capable of performing both streaming and non-streaming inference.

The underlying model is constructed by torchaudio.models.emformer_rnnt_base() and utilizes weights trained on TED-LIUM Release 3 [Rousseau et al., 2012] dataset using training script train.py here with num_symbols=501.

Please refer to torchaudio.pipelines.RNNTBundle for usage instructions.