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Preserve more context after endpointing in transducer (#2061)

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This commit is contained in:
Askars Salimbajevs
2025-04-02 18:33:47 +03:00
committed by GitHub
parent da4aad1189
commit 18a6ed5ddc
1 changed files with 10 additions and 6 deletions
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16
sherpa-onnx/csrc/online-recognizer-transducer-impl.h
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@@ -388,16 +388,20 @@ class OnlineRecognizerTransducerImpl : public OnlineRecognizerImpl {
auto r = decoder_->GetEmptyResult();
auto last_result = s->GetResult();
// if last result is not empty, then
// preserve last tokens as the context for next result
// truncate all last hyps and save as the context for next result
if (static_cast<int32_t>(last_result.tokens.size()) > context_size) {
std::vector<int64_t> context(last_result.tokens.end() - context_size,
last_result.tokens.end());
for (const auto &it : last_result.hyps) {
auto h = it.second;
r.hyps.Add({std::vector<int64_t>(h.ys.end() - context_size,
h.ys.end()),
h.log_prob});
}
Hypotheses context_hyp({{context, 0}});
r.hyps = std::move(context_hyp);
r.tokens = std::move(context);
r.tokens = std::vector<int64_t> (last_result.tokens.end() - context_size,
last_result.tokens.end());
}
// but reset all contextual biasing graph states to root
if (config_.decoding_method == "modified_beam_search" &&
nullptr != s->GetContextGraph()) {
for (auto it = r.hyps.begin(); it != r.hyps.end(); ++it) {