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Update README.md

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A couple minor edits to performance section.

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  1. README.md +9 -9
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- ---
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- license: apache-2.0
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- language:
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- - multilingual
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- tags:
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- - automatic-speech-recognition
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- ---
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  # reazonspeech-k2-v2-ja-en
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@@ -61,7 +61,7 @@ Character Error Rates (CERs) for Japanese listed below:
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  | greedy search | 12.56 | 6.93 | 9.75 | 9.67 |
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  | modified beam search | 11.59 | 6.97 | 9.55 | 9.51 |
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- Additional tests were performed with manually procurred audio files.
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  The model performs reasonably well as long as the input audio contains a single language.
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  However when multiple languages are included in the same input, the model struggles to provide an accurate transcription (see test_multi).
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  This result can be avoided by properly segmenting audio into chunks, separated by pauses in speech.
@@ -70,7 +70,7 @@ This result can be avoided by properly segmenting audio into chunks, separated b
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  - test_ja_2: 26% (CER)
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  - test_multi: 99% (CER)
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  - test_en_1: 12% (WER)
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- - test_en_2: 29% (WER)
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  ## License
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - multilingual
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+ tags:
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+ - automatic-speech-recognition
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+ ---
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  # reazonspeech-k2-v2-ja-en
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  | greedy search | 12.56 | 6.93 | 9.75 | 9.67 |
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  | modified beam search | 11.59 | 6.97 | 9.55 | 9.51 |
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+ Additional tests were performed with manually procurred audio files (see test_wavs/transcripts.txt).
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  The model performs reasonably well as long as the input audio contains a single language.
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  However when multiple languages are included in the same input, the model struggles to provide an accurate transcription (see test_multi).
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  This result can be avoided by properly segmenting audio into chunks, separated by pauses in speech.
 
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  - test_ja_2: 26% (CER)
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  - test_multi: 99% (CER)
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  - test_en_1: 12% (WER)
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+ - test_en_2: 27% (WER)
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  ## License