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Merge pull request #3195 from mozilla/remove-unused-decoder-method 

Remove unused Scorer method
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Reuben Morais 2020-07-30 13:50:52 +02:00 committed by GitHub
parent 396504ea07 6141740f89
commit 4ce32c157b
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2 changed files with 0 additions and 50 deletions
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47
native_client/ctcdecode/scorer.cpp
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@ -261,53 +261,6 @@ double Scorer::get_log_cond_prob(const std::vector<std::string>::const_iterator&
return cond_prob/NUM_FLT_LOGE;
}
double Scorer::get_sent_log_prob(const std::vector<std::string>& words)
{
// For a given sentence (`words`), return sum of LM scores over windows on
// sentence. For example, given the sentence:
//
// there once was an ugly barnacle
//
// And a language model with max_order_ = 3, this function will return the sum
// of the following scores:
//
// there | <s>
// there once | <s>
// there once was
// once was an
// was an ugly
// an ugly barnacle
// ugly barnacle </s>
//
// This is used in the decoding process to compute the LM contribution for a
// given beam's accumulated score, so that it can be removed and only the
// acoustic model contribution can be returned as a confidence score for the
// transcription. See DecoderState::decode.
const int sent_len = words.size();
double score = 0.0;
for (int win_start = 0, win_end = 1; win_end <= sent_len+1; ++win_end) {
const int win_size = win_end - win_start;
bool bos = win_size < max_order_;
bool eos = win_end == (sent_len + 1);
// The last window goes one past the end of the words vector as passing the
// EOS=true flag counts towards the length of the scored sentence, so we
// adjust the win_end index here to not go over bounds.
score += get_log_cond_prob(words.begin() + win_start,
words.begin() + (eos ? win_end - 1 : win_end),
bos,
eos);
// Only increment window start position after we have a full window
if (win_size == max_order_) {
win_start++;
}
}
return score / NUM_FLT_LOGE;
}
void Scorer::reset_params(float alpha, float beta)
{
this->alpha = alpha;

3
native_client/ctcdecode/scorer.h
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@ -26,7 +26,6 @@ const std::string END_TOKEN = "</s>";
* Example:
* Scorer scorer(alpha, beta, "path_of_language_model");
* scorer.get_log_cond_prob({ "WORD1", "WORD2", "WORD3" });
* scorer.get_sent_log_prob({ "WORD1", "WORD2", "WORD3" });
*/
class Scorer {
public:
@ -54,8 +53,6 @@ public:
bool bos = false,
bool eos = false);
double get_sent_log_prob(const std::vector<std::string> &words);
// return the max order
size_t get_max_order() const { return max_order_; }