From 3210246c9182438da949bef3b7944dbfc9f08449 Mon Sep 17 00:00:00 2001 From: JinZr Date: Fri, 27 Oct 2023 05:17:51 +0000 Subject: [PATCH] deploy: 800bf4b6a2e32745e7d0c31dd78d473f1faff509 --- .../aishell/conformer_ctc.rst.txt | 2 +- .../aishell/tdnn_lstm_ctc.rst.txt | 2 +- .../pruned_transducer_stateless.rst.txt | 2 +- .../RNN-LM/librispeech/lm-training.rst.txt | 2 +- contributing/index.html | 4 ++-- decoding-with-langugage-models/index.html | 2 +- index.html | 2 +- objects.inv | Bin 1929 -> 1927 bytes .../aishell/conformer_ctc.html | 2 +- .../aishell/tdnn_lstm_ctc.html | 2 +- .../pruned_transducer_stateless.html | 2 +- recipes/RNN-LM/index.html | 8 ++++---- recipes/RNN-LM/librispeech/lm-training.html | 10 +++++----- recipes/index.html | 2 +- searchindex.js | 2 +- 15 files changed, 22 insertions(+), 22 deletions(-) diff --git a/_sources/recipes/Non-streaming-ASR/aishell/conformer_ctc.rst.txt b/_sources/recipes/Non-streaming-ASR/aishell/conformer_ctc.rst.txt index 6e30ce397..aad90f9d0 100644 --- a/_sources/recipes/Non-streaming-ASR/aishell/conformer_ctc.rst.txt +++ b/_sources/recipes/Non-streaming-ASR/aishell/conformer_ctc.rst.txt @@ -67,7 +67,7 @@ To run stage 2 to stage 5, use: .. HINT:: A 3-gram language model will be downloaded from huggingface, we assume you have - intalled and initialized ``git-lfs``. If not, you could install ``git-lfs`` by + installed and initialized ``git-lfs``. If not, you could install ``git-lfs`` by .. code-block:: bash diff --git a/_sources/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.rst.txt b/_sources/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.rst.txt index 9eb3b11f7..8e56deb6a 100644 --- a/_sources/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.rst.txt +++ b/_sources/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.rst.txt @@ -67,7 +67,7 @@ To run stage 2 to stage 5, use: .. HINT:: A 3-gram language model will be downloaded from huggingface, we assume you have - intalled and initialized ``git-lfs``. If not, you could install ``git-lfs`` by + installed and initialized ``git-lfs``. If not, you could install ``git-lfs`` by .. code-block:: bash diff --git a/_sources/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.rst.txt b/_sources/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.rst.txt index 1bc1dd984..f356e97e7 100644 --- a/_sources/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.rst.txt +++ b/_sources/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.rst.txt @@ -418,7 +418,7 @@ The following shows two examples (for 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 diff --git a/_sources/recipes/RNN-LM/librispeech/lm-training.rst.txt b/_sources/recipes/RNN-LM/librispeech/lm-training.rst.txt index 736120275..46499a374 100644 --- a/_sources/recipes/RNN-LM/librispeech/lm-training.rst.txt +++ b/_sources/recipes/RNN-LM/librispeech/lm-training.rst.txt @@ -1,6 +1,6 @@ .. _train_nnlm: -Train an RNN langugage model +Train an RNN language model ====================================== If you have enough text data, you can train a neural network language model (NNLM) to improve diff --git a/contributing/index.html b/contributing/index.html index 8e50cf0a6..1345751f7 100644 --- a/contributing/index.html +++ b/contributing/index.html @@ -20,7 +20,7 @@ - + @@ -133,7 +133,7 @@ and code to icefall