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Fix gaps in phonetic recognition 

Randomly, entire utterances yielded no phones with the phonetic recognizer.
The cause was a check for empty utterances that made sense for word
recognition, but not for phonetic recognition.
This commit is contained in:
Daniel Wolf 2019-01-18 22:29:26 +01:00
parent 357cb0b65e
commit f3d4cfbb31
1 changed files with 12 additions and 3 deletions
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15
rhubarb/src/recognition/pocketSphinxTools.cpp
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@ -219,9 +219,18 @@ BoundedTimeline<string> recognizeWords(const vector<int16_t>& audioBuffer, ps_de
BoundedTimeline<string> result( BoundedTimeline<string> result(
TimeRange(0_cs, centiseconds(100 * audioBuffer.size() / sphinxSampleRate)) TimeRange(0_cs, centiseconds(100 * audioBuffer.size() / sphinxSampleRate))
); );
const bool noWordsRecognized = reinterpret_cast<ngram_search_t*>(decoder.search)->bpidx == 0; const bool phonetic = cmd_ln_boolean_r(decoder.config, "-allphone_ci");
if (noWordsRecognized) { if (!phonetic) {
return result; // If the decoder is in word mode (as opposed to phonetic recognition), it expects each
// utterance to contain speech. If it doesn't, ps_seg_word() logs the annoying error
// "Couldn't find <s> in first frame".
// Not every utterance does contain speech, however. In this case, we exit early to prevent
// the log output.
// We *don't* to that in phonetic mode because here, the same code would omit valid phones.
const bool noWordsRecognized = reinterpret_cast<ngram_search_t*>(decoder.search)->bpidx == 0;
if (noWordsRecognized) {
return result;
}
} }
// Collect words // Collect words