【摘要】 在建立非特定人普通话四声语调语音数据库的基础上,采用Mel频率倒谱系数(MFCCs)对语音数据进行特征参数的提取,并利用支持向量机(SVM)对语音中的四种声调进行了训练和识别研究。实验结果表明MFCCs和SVM的结合得到的平均识别率达到了97.6%。更多还原

【Abstract】 A speaker-independent tone database of Chinese speech(putonghua) is established.The Mel-frequency cepstrum coefficients(MFCCs) are used for extraction of the tone feature parameters.The four recognizing models of four tones are trained by using support vector machine(SVM) ,and are tested by using the testing tone data.The results show that a recognition accuracy can reach 97.6% by combining MFCCs and SVM.更多还原