发明名称 |
SPEECH RECOGNIZER WITH MULTI-DIRECTIONAL DECODING |
摘要 |
In an automatic speech recognition (ASR) processing system, ASR processing may be configured to process speech based on multiple channels of audio received from a beamformer. The ASR processing system may include a microphone array and the beamformer to output multiple channels of audio such that each channel isolates audio in a particular direction. The multichannel audio signals may include spoken utterances/speech from one or more speakers as well as undesired audio, such as noise from a household appliance. The ASR device may simultaneously perform speech recognition on the multi-channel audio to provide more accurate speech recognition results. |
申请公布号 |
US2015095026(A1) |
申请公布日期 |
2015.04.02 |
申请号 |
US201314039383 |
申请日期 |
2013.09.27 |
申请人 |
Amazon Technologies, Inc. |
发明人 |
Bisani Michael Maximilian Emanuel;Strom Nikko;Hoffmeister Bjorn;Thomas Ryan Paul |
分类号 |
G10L15/00;G10L15/16 |
主分类号 |
G10L15/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method for performing speech recognition, the method comprising:
receiving a multiple-channel audio signal comprising a first channel and a second channel, wherein the first channel and second channel are created using a beamformer and a microphone array, the first channel representing audio from a first direction, and the second channel representing audio from a second direction; creating a first sequence of feature vectors for the first channel and a second sequence of feature vectors for the second channel; performing speech recognition using the first sequence of feature vectors and the second sequence of feature vectors, wherein performing speech recognition comprises:
generating a first hypothesis using a speech recognition model and a first feature vector of the first sequence of feature vectors;generating a second hypothesis using the speech recognition model and a second feature vector of the second sequence of feature vectors, wherein the second hypothesis is subsequent to the first hypothesis in a speech recognition result network. |
地址 |
Reno NV US |