摘要 : The paper describes a system for automatic speech recognition (ASR) that is benchmarked with data of the 3rd CHiME challenge, a dataset comprising distant microphone recordings of noisy acoustic scenes in public environments. The ... 展开
作者 | Moritz~ Niko Adiloǧlu~ Kamil Anemüller~ Jörn Goetze~ Stefan Kollmeier~ Birger |
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作者单位 | |
期刊名称 | 《Computer speech and language》 |
页码/总页数 | 558-573 / 16 |
语种 | 英语 |
关键词 | Amplitude modulation filter bank CHiME Feature extraction Modulation frequency analysis Non-negative matrix factorization Speech enhancement |
DOI | 10.1016/j.csl.2016.11.004 |
馆藏号 | TP-066 |