Research on Speech Endpoint Detection Algorithm with Low SNR
نویسندگان
چکیده
منابع مشابه
Energy and entropy based switching algorithm for speech endpoint detection in varying SNR conditions
In this work, we present an algorithm that switches between the energy and the entropy based voice activity detectors (VADs) to provide an improved performance under varying signal to noise ratio (SNR) conditions. The motivation for switching has come from the observed complementary behavior in the noise estimation performances of energy and entropy based voice activity detectors when evaluated...
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While traditional speech recognition methods have achieved great success in a number of real word applications, their further applications to some difficult situations, such as Signal-to-Noise Ratio (SNR) signal and local languages, are still limited by their shortcomings in adaption ability. In particular, their robustness to pronunciation level noise is not satisfied enough. To overcome these...
متن کاملSpeech Endpoint Detection Based on High Order Statistics
For automatic speech recognition, endpoint detection is required to isolate the speech of interest so as to be able to create a speech pattern or template. The process of separating the speech segments of an utterance from the nonspeech segments obtained during the recording process is called endpoint detection. In this paper, we present new endpoint detection algorithm based on high order stat...
متن کاملRobust speech recognition with spectral subtraction in low SNR
Speech recognition in noisy environments is a very difficult task. It is is desirable to search for parameters that would relate the speech enhancement technique directly with the recognizer to optimize the recognition performance. In this paper, Noise Reduction Rate (NRR) and Mel Cepstrum Distortion (MelCD) are investigated when using Spectral Subtraction (SS). Under low SNR such as 0dB,5dB an...
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ژورنال
عنوان ژورنال: OALib
سال: 2017
ISSN: 2333-9721,2333-9705
DOI: 10.4236/oalib.1103487