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src/online2/online-endpoint.cc
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// online2/online-endpoint.cc // Copyright 2014 Johns Hopkins University (author: Daniel Povey) // See ../../COPYING for clarification regarding multiple authors // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY // KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED // WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE, // MERCHANTABLITY OR NON-INFRINGEMENT. // See the Apache 2 License for the specific language governing permissions and // limitations under the License. #include "online2/online-endpoint.h" #include "decoder/lattice-faster-online-decoder.h" #include "decoder/grammar-fst.h" namespace kaldi { static bool RuleActivated(const OnlineEndpointRule &rule, const std::string &rule_name, BaseFloat trailing_silence, BaseFloat relative_cost, BaseFloat utterance_length) { bool contains_nonsilence = (utterance_length > trailing_silence); bool ans = (contains_nonsilence || !rule.must_contain_nonsilence) && trailing_silence >= rule.min_trailing_silence && relative_cost <= rule.max_relative_cost && utterance_length >= rule.min_utterance_length; if (ans) { KALDI_VLOG(2) << "Endpointing rule " << rule_name << " activated: " << (contains_nonsilence ? "true" : "false" ) << ',' << trailing_silence << ',' << relative_cost << ',' << utterance_length; } return ans; } bool EndpointDetected(const OnlineEndpointConfig &config, int32 num_frames_decoded, int32 trailing_silence_frames, BaseFloat frame_shift_in_seconds, BaseFloat final_relative_cost) { KALDI_ASSERT(num_frames_decoded >= trailing_silence_frames); BaseFloat utterance_length = num_frames_decoded * frame_shift_in_seconds, trailing_silence = trailing_silence_frames * frame_shift_in_seconds; if (RuleActivated(config.rule1, "rule1", trailing_silence, final_relative_cost, utterance_length)) return true; if (RuleActivated(config.rule2, "rule2", trailing_silence, final_relative_cost, utterance_length)) return true; if (RuleActivated(config.rule3, "rule3", trailing_silence, final_relative_cost, utterance_length)) return true; if (RuleActivated(config.rule4, "rule4", trailing_silence, final_relative_cost, utterance_length)) return true; if (RuleActivated(config.rule5, "rule5", trailing_silence, final_relative_cost, utterance_length)) return true; return false; } template <typename FST> int32 TrailingSilenceLength(const TransitionModel &tmodel, const std::string &silence_phones_str, const LatticeFasterOnlineDecoderTpl<FST> &decoder) { std::vector<int32> silence_phones; if (!SplitStringToIntegers(silence_phones_str, ":", false, &silence_phones)) KALDI_ERR << "Bad --silence-phones option in endpointing config: " << silence_phones_str; std::sort(silence_phones.begin(), silence_phones.end()); KALDI_ASSERT(IsSortedAndUniq(silence_phones) && "Duplicates in --silence-phones option in endpointing config"); KALDI_ASSERT(!silence_phones.empty() && "Endpointing requires nonempty --endpoint.silence-phones option"); ConstIntegerSet<int32> silence_set(silence_phones); bool use_final_probs = false; typename LatticeFasterOnlineDecoderTpl<FST>::BestPathIterator iter = decoder.BestPathEnd(use_final_probs, NULL); int32 num_silence_frames = 0; while (!iter.Done()) { // we're going backwards in time from the most // recently decoded frame... LatticeArc arc; iter = decoder.TraceBackBestPath(iter, &arc); if (arc.ilabel != 0) { int32 phone = tmodel.TransitionIdToPhone(arc.ilabel); if (silence_set.count(phone) != 0) { num_silence_frames++; } else { break; // stop counting as soon as we hit non-silence. } } } return num_silence_frames; } template <typename FST> bool EndpointDetected( const OnlineEndpointConfig &config, const TransitionModel &tmodel, BaseFloat frame_shift_in_seconds, const LatticeFasterOnlineDecoderTpl<FST> &decoder) { if (decoder.NumFramesDecoded() == 0) return false; BaseFloat final_relative_cost = decoder.FinalRelativeCost(); int32 num_frames_decoded = decoder.NumFramesDecoded(), trailing_silence_frames = TrailingSilenceLength(tmodel, config.silence_phones, decoder); return EndpointDetected(config, num_frames_decoded, trailing_silence_frames, frame_shift_in_seconds, final_relative_cost); } // Instantiate EndpointDetected for the types we need. // It will require TrailingSilenceLength so we don't have to instantiate that. template bool EndpointDetected<fst::Fst<fst::StdArc> >( const OnlineEndpointConfig &config, const TransitionModel &tmodel, BaseFloat frame_shift_in_seconds, const LatticeFasterOnlineDecoderTpl<fst::Fst<fst::StdArc> > &decoder); template bool EndpointDetected<fst::GrammarFst>( const OnlineEndpointConfig &config, const TransitionModel &tmodel, BaseFloat frame_shift_in_seconds, const LatticeFasterOnlineDecoderTpl<fst::GrammarFst> &decoder); } // namespace kaldi |