speaker clustering

基本解釋

A speaker recognition method based on improved FCM clustering with vector quantization is introduced in this paper.
提出了一種將改進(jìn)的FCM 聚類算法與矢量量化相結(jié)合的說(shuō)話人識(shí)別的方法。
Several new algorithms of fuzzy C-mean clustering with the combination of vector quantization are proposed for speaker identification.
該文提出了一種將模糊C-均值聚類法的各種改進(jìn)算法與矢量量化法相結(jié)合的說(shuō)話人辨認(rèn)的新方法。
In addition, this paper introduced the method of speaker clustering based on GMM, which required less speech data but faster speed during the process of clustering.
此外，本文還重點(diǎn)介紹了基于GMM的說(shuō)話人聚類算法，該算法聚類過(guò)程需要的訓(xùn)練數(shù)據(jù)少，聚類速度快。

說(shuō)話人聚類
In this paper, We introduced a speaker clustering algorithm in speech recognition, which includes its effect to the recognition system. Also, its usage, the features used, distance measurement and the procedure of the algorithm were described.
本文介紹了穩(wěn)健語(yǔ)音識(shí)別中的一種說(shuō)話人聚類算法,包括它在語(yǔ)音識(shí)別中的作用和具體的用法,聚類中常用的特征、距離測(cè)度,聚類的具體實(shí)現(xiàn)步驟等。
說(shuō)話人分類