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搜索结果: 1-15 共查到工学 speech recognition相关记录19条 . 查询时间(0.127 秒)
Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world...
In this article, we propose a new method for parametric representation of human’s lips region. The functional diagram of the method is described and implementation details with the explanation of its ...
UBIQUITOUS GIS, DATA ACQUISITION AND SPEECH RECOGNITION.
Denoising autoencoders (DAs) have shown success in generating robust features for images, but there has been limited work in applying DAs for speech. In this paper we present a deep denoising autoenco...
In this paper, we propose a multi-level, contextdependent acoustic modeling framework for automatic speech recognition. For each context-dependent unit considered by the recognizer, we construct a set...
In this paper, we investigate a closed-loop auditory model and explore its potential as a feature representation for speech recognition. The closed-loop representation consists of an auditory-based, e...
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad phonetic classes to divide the classification problem originating from c...
To advance research, it isimportant to identify prom-ising future research direc-tions, especially those thathave not been adequately pursued or funded in the past. The working group producing this ar...
SPEECH RECOGNITION WITH LOCALIZED TIME-FR EQUENCY PATTERN DETECTORS.
用改进的动态时间归整(DTW)算法进行语音辨识,设计了语音识别系统软件,以SPCE061A单片机为核心设计了车载语音识别系统的电控单元(ECU)。在车内不同噪声环境下进行了语音识别试验,结果表明语音识别率随着车内环境噪声的增加而下降,随着语音字数的增加而降低;在车辆怠速车内噪声小于50dB(A)的环境中2字语音平均识别率为90%、4字语音的识别率为85%; 在车辆定置油门半开、车内噪声为60~70...
Speech recognition in adverse environment is one of the major issue in automatic speech recognition nowadays. While most current speech recognition system show to be highly efficient for ideal envir...
In this paper, we propose a state-dependent tied mixture (SDTM) models with variable codebook size to improve the model robustness for accented p honetic variations while maintaining model discrimina...
Aiming at building a dialectal Chinese speech rec ognizer from a standard Chinese speech recognizer with a small am ount of dialectal Chinese speech, a novel, simple but effective acoustic modeling me...
In this paper, we propose a novel approach to robust speech recognition in noisy environments by discriminating the observation vectors. In conventional HMM-based speech recognition, all the observ...
Automatic speech recognition (ASR) performs well under restricted conditions, but performance degrades in noisy environments. Audio-Visual Speech Recognition(AVSR) combats this by incorporating a visu...

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