EVALUATION OF PITCH ESTIMATION ALGORITHMS ON SEPARATED SPEECH
Refereed conference paper presented and published in conference proceedings


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摘要To post-process outputs of speech separation systems with harmonic enhancement, it is normally required to estimate the fundamental frequency. This paper evaluates the performance of a few representative robust pitch estimation algorithms on speech reconstructed from two-speaker mixture signals. The separation outputs obtained by two state-of-the-art single-channel separation algorithms are used for the evaluation. A recently proposed sparsity-based pitch estimation method is applied to the separated speech and a new pitch tracking algorithm is proposed. Experimental results show that on the separated speech the proposed method consistently surpasses the others with significantly low gross error rate, which is similar to the gross error rates of the other methods on clean speech.
著者Huang F, Yeung YT, Lee T
會議名稱IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
會議開始日26.05.2013
會議完結日31.05.2013
會議地點Vancouver
會議國家/地區加拿大
詳細描述organized by IEEE Signal Processing Society,
出版年份2013
月份1
日期1
出版社IEEE
頁次6807 - 6811
電子國際標準書號978-1-4799-0356-6
國際標準期刊號1520-6149
語言英式英語
關鍵詞harmonic enhancement; harmonic noise; Robust pitch estimation; speech separation
Web of Science 學科類別Acoustics; Engineering; Engineering, Electrical & Electronic

上次更新時間 2021-26-02 於 00:18