From a016180e622bd72a25b855534cbdce08e65afded Mon Sep 17 00:00:00 2001 From: hairyputtar <148847552+hairyputtar@users.noreply.github.com> Date: Tue, 24 Oct 2023 12:53:23 +0530 Subject: [PATCH] Update pruned_transducer_stateless.rst --- .../librispeech/pruned_transducer_stateless.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.rst b/docs/source/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.rst index 2ca70bcf3..d6e424e2f 100644 --- a/docs/source/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.rst +++ b/docs/source/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.rst @@ -584,7 +584,7 @@ The following shows two examples (for the two types of checkpoints): - ``beam_search`` : It implements Algorithm 1 in https://arxiv.org/pdf/1211.3711.pdf and `espnet/nets/beam_search_transducer.py `_ - is used as a reference. Basicly, it keeps topk states for each frame, and expands the kept states with their own contexts to + is used as a reference. Basically, it keeps topk states for each frame, and expands the kept states with their own contexts to next frame. - ``modified_beam_search`` : It implements the same algorithm as ``beam_search`` above, but it @@ -648,7 +648,7 @@ command to extract ``model.state_dict()``. .. caution:: ``--streaming-model`` and ``--causal-convolution`` require to be True to export - a streaming mdoel. + a streaming model. It will generate a file ``./pruned_transducer_stateless4/exp/pretrained.pt``. @@ -697,7 +697,7 @@ Export model using ``torch.jit.script()`` .. caution:: ``--streaming-model`` and ``--causal-convolution`` require to be True to export - a streaming mdoel. + a streaming model. It will generate a file ``cpu_jit.pt`` in the given ``exp_dir``. You can later load it by ``torch.jit.load("cpu_jit.pt")``.