From 4cef2728cdb4c10c70c10b5757fb7c111bab8b95 Mon Sep 17 00:00:00 2001 From: Fangjun Kuang Date: Tue, 12 Apr 2022 13:03:53 +0800 Subject: [PATCH] Fix typos. --- .../ASR/transducer_emformer/streaming_feature_extractor.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/egs/librispeech/ASR/transducer_emformer/streaming_feature_extractor.py b/egs/librispeech/ASR/transducer_emformer/streaming_feature_extractor.py index e5b13df7f..e9f40576f 100644 --- a/egs/librispeech/ASR/transducer_emformer/streaming_feature_extractor.py +++ b/egs/librispeech/ASR/transducer_emformer/streaming_feature_extractor.py @@ -21,7 +21,7 @@ from beam_search import Hypothesis from kaldifeat import FbankOptions, OnlineFbank, OnlineFeature -def _create_streaming_feature_extractr() -> OnlineFeature: +def _create_streaming_feature_extractor() -> OnlineFeature: """Create a CPU streaming feature extractor. At present, we assume it returns a fbank feature extractor with @@ -43,7 +43,7 @@ def _create_streaming_feature_extractr() -> OnlineFeature: class FeatureExtractionStream(object): def __init__(self, context_size: int, blank_id: int = 0) -> None: """Context size of the RNN-T decoder model.""" - self.feature_extractor = _create_streaming_feature_extractr() + self.feature_extractor = _create_streaming_feature_extractor() self.hyp = Hypothesis( ys=([blank_id] * context_size), log_prob=torch.tensor([0.0]),