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Update README.md

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...@@ -236,7 +236,7 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r ...@@ -236,7 +236,7 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r
</thead> </thead>
<tbody> <tbody>
<tr> <tr>
<td rowspan="3">Speech Recogination</td> <td rowspan="4">Speech Recogination</td>
<td rowspan="2" >Aishell</td> <td rowspan="2" >Aishell</td>
<td >DeepSpeech2 RNN + Conv based Models</td> <td >DeepSpeech2 RNN + Conv based Models</td>
<td> <td>
...@@ -249,7 +249,7 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r ...@@ -249,7 +249,7 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r
<a href = "./examples/aishell/asr1">u2.transformer.conformer-aishell</a> <a href = "./examples/aishell/asr1">u2.transformer.conformer-aishell</a>
</td> </td>
</tr> </tr>
<tr> <tr>
<td> Librispeech</td> <td> Librispeech</td>
<td>Transformer based Attention Models </td> <td>Transformer based Attention Models </td>
<td> <td>
...@@ -257,6 +257,13 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r ...@@ -257,6 +257,13 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r
</td> </td>
</td> </td>
</tr> </tr>
<tr>
<td>TIMIT</td>
<td>Unified Streaming & Non-streaming Two-pass</td>
<td>
<a href = "./examples/timit/asr1"> u2-timit</a>
</td>
</tr>
<tr> <tr>
<td>Alignment</td> <td>Alignment</td>
<td>THCHS30</td> <td>THCHS30</td>
...@@ -266,20 +273,13 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r ...@@ -266,20 +273,13 @@ PaddleSpeech supports a series of most popular models. They are summarized in [r
</td> </td>
</tr> </tr>
<tr> <tr>
<td rowspan="2">Language Model</td> <td rowspan="1">Language Model</td>
<td colspan = "2">Ngram Language Model</td> <td colspan = "2">Ngram Language Model</td>
<td> <td>
<a href = "./examples/other/ngram_lm">kenlm</a> <a href = "./examples/other/ngram_lm">kenlm</a>
</td> </td>
</tr> </tr>
<tr> <tr>
<td>TIMIT</td>
<td>Unified Streaming & Non-streaming Two-pass</td>
<td>
<a href = "./examples/timit/asr1"> u2-timit</a>
</td>
</tr>
<tr>
<td rowspan="2">Speech Translation (English to Chinese)</td> <td rowspan="2">Speech Translation (English to Chinese)</td>
<td rowspan="2">TED En-Zh</td> <td rowspan="2">TED En-Zh</td>
<td>Transformer + ASR MTL</td> <td>Transformer + ASR MTL</td>
......
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