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update ctc_beam_search_decoder design doc #2423

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merged 5 commits into from
Jan 31, 2018

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@kuke kuke commented Jun 8, 2017

update design doc for beam search with CTC and LM #2230

@kuke kuke requested a review from xinghai-sun June 8, 2017 03:59
</div>

- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended.
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remove "defined"

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Done

Figure 2. Algorithm for Beam Search Decoder.
</div>

- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
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What is the ambiguous part and what is the modification? Could you please add more details?

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Done


- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended.
- Such scorer is a unified class, may consisting of language model, word count or any customed evaluators.
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  1. --> any other custom scorers.
  2. What do you mean by "a unified class"?
  3. Remove "may".

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Done and modified.

- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended.
- Such scorer is a unified class, may consisting of language model, word count or any customed evaluators.
- The **language model** is built from Task 5, with a parameter should be carefully tuned to achieve minimum WER/CER (c.f. Task 7)
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a parameters --> parameters

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Done

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All done. Thx!

Figure 2. Algorithm for Beam Search Decoder.
</div>

- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
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Done

</div>

- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended.
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Done


- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended.
- Such scorer is a unified class, may consisting of language model, word count or any customed evaluators.
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Done and modified.

- The **Beam Search Decoder** for DS2 CTC-trained network follows the similar approach in \[[3](#references)\] with a modification for the ambiguous part, as shown in Figure 2.
- An **external defined scorer** would be passed into the decoder to evaluate a candidate prefix during decoding whenever a space character appended.
- Such scorer is a unified class, may consisting of language model, word count or any customed evaluators.
- The **language model** is built from Task 5, with a parameter should be carefully tuned to achieve minimum WER/CER (c.f. Task 7)
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Done

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LGTM

@kuke kuke merged commit ed94226 into PaddlePaddle:develop Jan 31, 2018
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3 participants