EngineX-Iluvatar/enginex_bi_series-sherpa-onnx
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add blank_penalty for online transducer (#548)

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chiiyeh
2024-01-26 12:12:13 +08:00
committed by GitHub
parent 466a6855c8
commit e7b18a2139
13 changed files with 94 additions and 14 deletions
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4
sherpa-onnx/python/sherpa_onnx/online_recognizer.py
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@@ -48,6 +48,7 @@ class OnlineRecognizer(object):
decoding_method: str = "greedy_search",
max_active_paths: int = 4,
hotwords_score: float = 1.5,
blank_penalty: float = 0.0,
hotwords_file: str = "",
provider: str = "cpu",
model_type: str = "",
@@ -100,6 +101,8 @@ class OnlineRecognizer(object):
max_active_paths:
Use only when decoding_method is modified_beam_search. It specifies
the maximum number of active paths during beam search.
blank_penalty:
The penalty applied on blank symbol during decoding.
hotwords_file:
The file containing hotwords, one words/phrases per line, and for each
phrase the bpe/cjkchar are separated by a space.
@@ -172,6 +175,7 @@ class OnlineRecognizer(object):
max_active_paths=max_active_paths,
hotwords_score=hotwords_score,
hotwords_file=hotwords_file,
blank_penalty=blank_penalty,
)
self.recognizer = _Recognizer(recognizer_config)