torchaudio.prototype.pipelines¶
The pipelines subpackage contains APIs to models with pretrained weights and relevant utilities.
RNN-T Streaming/Non-Streaming ASR¶
EMFORMER_RNNT_BASE_MUSTC¶
-
torchaudio.prototype.pipelines.
EMFORMER_RNNT_BASE_MUSTC
¶ 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 MuST-C release v2.0 dataset using training scripttrain.py
here withnum_symbols=501
. Please refer totorchaudio.pipelines.RNNTBundle
for usage instructions.
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 dataset using training scripttrain.py
here withnum_symbols=501
.Please refer to
torchaudio.pipelines.RNNTBundle
for usage instructions.