A novel pitch determination algorithm with binary lateral inhibition network (BLIN) is proposed in this paper. A thread like spectrum, which is composed of the fundamental frequency and its harmonic components, is a...A novel pitch determination algorithm with binary lateral inhibition network (BLIN) is proposed in this paper. A thread like spectrum, which is composed of the fundamental frequency and its harmonic components, is acquired by applying a BLIN to the short time spectrum of the speech signal. Then the pitch is determined by the average interval of harmonics. The algorithm is evaluated on COSDIC speech database. For comparison, the same results obtained from the same speech sample with the cepstrum and autocorrelation based pitch determination algorithms are also presented. The results show that the new algorithm is superior to the cepstrum and autocorrelation based pitch determination algorithms.展开更多
This paper proposes an algorithm that adopts the harmonic regeneration as post-processing to improve the performance of speech enhancement using traditional Short Time Spectral Amplitude(STSA).The proposed algorithm a...This paper proposes an algorithm that adopts the harmonic regeneration as post-processing to improve the performance of speech enhancement using traditional Short Time Spectral Amplitude(STSA).The proposed algorithm aims to alleviate the distortion of the high harmonics of enhanced speech via the traditional STSA,and consequently improves the speech quality.We first detect the pitch,or fundamental frequency,of the enhanced speech via the traditional STSA,and then,divide the whole spectrum into multiple sub-bands which center on each harmonic.After that,a series of specially designed windows centered on each harmonic are applied to all the sub-bands,in order to redistribute the energy in the sub-bands.The results of experiment demonstrate that the method has both theo-retical and practical basis.展开更多
文摘A novel pitch determination algorithm with binary lateral inhibition network (BLIN) is proposed in this paper. A thread like spectrum, which is composed of the fundamental frequency and its harmonic components, is acquired by applying a BLIN to the short time spectrum of the speech signal. Then the pitch is determined by the average interval of harmonics. The algorithm is evaluated on COSDIC speech database. For comparison, the same results obtained from the same speech sample with the cepstrum and autocorrelation based pitch determination algorithms are also presented. The results show that the new algorithm is superior to the cepstrum and autocorrelation based pitch determination algorithms.
基金Supported by the National Natural Science Foundation of China (No. 60572081)
文摘This paper proposes an algorithm that adopts the harmonic regeneration as post-processing to improve the performance of speech enhancement using traditional Short Time Spectral Amplitude(STSA).The proposed algorithm aims to alleviate the distortion of the high harmonics of enhanced speech via the traditional STSA,and consequently improves the speech quality.We first detect the pitch,or fundamental frequency,of the enhanced speech via the traditional STSA,and then,divide the whole spectrum into multiple sub-bands which center on each harmonic.After that,a series of specially designed windows centered on each harmonic are applied to all the sub-bands,in order to redistribute the energy in the sub-bands.The results of experiment demonstrate that the method has both theo-retical and practical basis.
