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2
_sources/recipes/Non-streaming-ASR/aishell/conformer_ctc.rst.txt
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@ -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

2
_sources/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.rst.txt
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@ -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

2
_sources/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.rst.txt
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@ -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 <https://github.com/espnet/espnet/blob/master/espnet/nets/beam_search_transducer.py#L247>`_
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

2
_sources/recipes/RNN-LM/librispeech/lm-training.rst.txt
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@ -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

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contributing/index.html
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@ -20,7 +20,7 @@
<link rel="index" title="Index" href="../genindex.html" />
<link rel="search" title="Search" href="../search.html" />
<link rel="next" title="Contributing to Documentation" href="doc.html" />
<link rel="prev" title="Train an RNN langugage model" href="../recipes/RNN-LM/librispeech/lm-training.html" />
<link rel="prev" title="Train an RNN language model" href="../recipes/RNN-LM/librispeech/lm-training.html" />
</head>
<body class="wy-body-for-nav">
@ -133,7 +133,7 @@ and code to <code class="docutils literal notranslate"><span class="pre">icefall
</div>
</div>
<footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
<a href="../recipes/RNN-LM/librispeech/lm-training.html" class="btn btn-neutral float-left" title="Train an RNN langugage model" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
<a href="../recipes/RNN-LM/librispeech/lm-training.html" class="btn btn-neutral float-left" title="Train an RNN language model" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
<a href="doc.html" class="btn btn-neutral float-right" title="Contributing to Documentation" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
</div>

2
decoding-with-langugage-models/index.html
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@ -94,7 +94,7 @@
<h1>Decoding with language models<a class="headerlink" href="#decoding-with-language-models" title="Permalink to this heading"></a></h1>
<p>This section describes how to use external langugage models
during decoding to improve the WER of transducer models. To train an external language model,
please refer to this tutorial: <a class="reference internal" href="../recipes/RNN-LM/librispeech/lm-training.html#train-nnlm"><span class="std std-ref">Train an RNN langugage model</span></a>.</p>
please refer to this tutorial: <a class="reference internal" href="../recipes/RNN-LM/librispeech/lm-training.html#train-nnlm"><span class="std std-ref">Train an RNN language model</span></a>.</p>
<p>The following decoding methods with external langugage models are available:</p>
<table class="docutils align-default">
<colgroup>

2
index.html
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@ -152,7 +152,7 @@ speech recognition recipes using <a class="reference external" href="https://git
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="recipes/RNN-LM/index.html">RNN-LM</a><ul>
<li class="toctree-l3"><a class="reference internal" href="recipes/RNN-LM/librispeech/lm-training.html">Train an RNN langugage model</a></li>
<li class="toctree-l3"><a class="reference internal" href="recipes/RNN-LM/librispeech/lm-training.html">Train an RNN language model</a></li>
</ul>
</li>
</ul>

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recipes/Non-streaming-ASR/aishell/conformer_ctc.html
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@ -176,7 +176,7 @@ the <code class="docutils literal notranslate"><span class="pre">dl_dir</span></
<div class="admonition hint">
<p class="admonition-title">Hint</p>
<p>A 3-gram language model will be downloaded from huggingface, we assume you have
intalled and initialized <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code>. If not, you could install <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code> by</p>
installed and initialized <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code>. If not, you could install <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code> by</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>sudo<span class="w"> </span>apt-get<span class="w"> </span>install<span class="w"> </span>git-lfs
$<span class="w"> </span>git-lfs<span class="w"> </span>install
</pre></div>

2
recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html
View File

@ -176,7 +176,7 @@ the <code class="docutils literal notranslate"><span class="pre">dl_dir</span></
<div class="admonition hint">
<p class="admonition-title">Hint</p>
<p>A 3-gram language model will be downloaded from huggingface, we assume you have
intalled and initialized <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code>. If not, you could install <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code> by</p>
installed and initialized <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code>. If not, you could install <code class="docutils literal notranslate"><span class="pre">git-lfs</span></code> by</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span>sudo<span class="w"> </span>apt-get<span class="w"> </span>install<span class="w"> </span>git-lfs
$<span class="w"> </span>git-lfs<span class="w"> </span>install
</pre></div>

2
recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.html
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@ -502,7 +502,7 @@ $<span class="w"> </span>./pruned_transducer_stateless4/decode.py<span class="w"
of each frame as the decoding result.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">beam_search</span></code> : It implements Algorithm 1 in <a class="reference external" href="https://arxiv.org/pdf/1211.3711.pdf">https://arxiv.org/pdf/1211.3711.pdf</a> and
<a class="reference external" href="https://github.com/espnet/espnet/blob/master/espnet/nets/beam_search_transducer.py#L247">espnet/nets/beam_search_transducer.py</a>
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.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">modified_beam_search</span></code> : It implements the same algorithm as <code class="docutils literal notranslate"><span class="pre">beam_search</span></code> above, but it
runs in batch mode with <code class="docutils literal notranslate"><span class="pre">--max-sym-per-frame=1</span></code> being hardcoded.</p></li>

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recipes/RNN-LM/index.html
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@ -19,7 +19,7 @@
<script src="../../_static/js/theme.js"></script>
<link rel="index" title="Index" href="../../genindex.html" />
<link rel="search" title="Search" href="../../search.html" />
<link rel="next" title="Train an RNN langugage model" href="librispeech/lm-training.html" />
<link rel="next" title="Train an RNN language model" href="librispeech/lm-training.html" />
<link rel="prev" title="Zipformer Transducer" href="../Streaming-ASR/librispeech/zipformer_transducer.html" />
</head>
@ -55,7 +55,7 @@
<li class="toctree-l2"><a class="reference internal" href="../Non-streaming-ASR/index.html">Non Streaming ASR</a></li>
<li class="toctree-l2"><a class="reference internal" href="../Streaming-ASR/index.html">Streaming ASR</a></li>
<li class="toctree-l2 current"><a class="current reference internal" href="#">RNN-LM</a><ul>
<li class="toctree-l3"><a class="reference internal" href="librispeech/lm-training.html">Train an RNN langugage model</a></li>
<li class="toctree-l3"><a class="reference internal" href="librispeech/lm-training.html">Train an RNN language model</a></li>
</ul>
</li>
</ul>
@ -98,7 +98,7 @@
<h1>RNN-LM<a class="headerlink" href="#rnn-lm" title="Permalink to this heading"></a></h1>
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="librispeech/lm-training.html">Train an RNN langugage model</a></li>
<li class="toctree-l1"><a class="reference internal" href="librispeech/lm-training.html">Train an RNN language model</a></li>
</ul>
</div>
</section>
@ -108,7 +108,7 @@
</div>
<footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
<a href="../Streaming-ASR/librispeech/zipformer_transducer.html" class="btn btn-neutral float-left" title="Zipformer Transducer" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
<a href="librispeech/lm-training.html" class="btn btn-neutral float-right" title="Train an RNN langugage model" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
<a href="librispeech/lm-training.html" class="btn btn-neutral float-right" title="Train an RNN language model" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
</div>
<hr/>

10
recipes/RNN-LM/librispeech/lm-training.html
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@ -4,7 +4,7 @@
<meta charset="utf-8" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Train an RNN langugage model &mdash; icefall 0.1 documentation</title>
<title>Train an RNN language model &mdash; icefall 0.1 documentation</title>
<link rel="stylesheet" href="../../../_static/pygments.css" type="text/css" />
<link rel="stylesheet" href="../../../_static/css/theme.css" type="text/css" />
<!--[if lt IE 9]>
@ -55,7 +55,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../Non-streaming-ASR/index.html">Non Streaming ASR</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../Streaming-ASR/index.html">Streaming ASR</a></li>
<li class="toctree-l2 current"><a class="reference internal" href="../index.html">RNN-LM</a><ul class="current">
<li class="toctree-l3 current"><a class="current reference internal" href="#">Train an RNN langugage model</a></li>
<li class="toctree-l3 current"><a class="current reference internal" href="#">Train an RNN language model</a></li>
</ul>
</li>
</ul>
@ -85,7 +85,7 @@
<li><a href="../../../index.html" class="icon icon-home" aria-label="Home"></a></li>
<li class="breadcrumb-item"><a href="../../index.html">Recipes</a></li>
<li class="breadcrumb-item"><a href="../index.html">RNN-LM</a></li>
<li class="breadcrumb-item active">Train an RNN langugage model</li>
<li class="breadcrumb-item active">Train an RNN language model</li>
<li class="wy-breadcrumbs-aside">
<a href="https://github.com/k2-fsa/icefall/blob/master/docs/source/recipes/RNN-LM/librispeech/lm-training.rst" class="fa fa-github"> Edit on GitHub</a>
</li>
@ -95,8 +95,8 @@
<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
<div itemprop="articleBody">
<section id="train-an-rnn-langugage-model">
<span id="train-nnlm"></span><h1>Train an RNN langugage model<a class="headerlink" href="#train-an-rnn-langugage-model" title="Permalink to this heading"></a></h1>
<section id="train-an-rnn-language-model">
<span id="train-nnlm"></span><h1>Train an RNN language model<a class="headerlink" href="#train-an-rnn-language-model" title="Permalink to this heading"></a></h1>
<p>If you have enough text data, you can train a neural network language model (NNLM) to improve
the WER of your E2E ASR system. This tutorial shows you how to train an RNNLM from
scratch.</p>

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recipes/index.html
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@ -111,7 +111,7 @@ Currently, only speech recognition recipes are provided.</p>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="RNN-LM/index.html">RNN-LM</a><ul>
<li class="toctree-l2"><a class="reference internal" href="RNN-LM/librispeech/lm-training.html">Train an RNN langugage model</a></li>
<li class="toctree-l2"><a class="reference internal" href="RNN-LM/librispeech/lm-training.html">Train an RNN language model</a></li>
</ul>
</li>
</ul>

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