| 1. | In the field of audio recognition , with many mature and creative technologies applying , especially the hidden markov models ( hmm ) , the effect and efficient of the audio recognition system have been enhanced . but due to the mismatch between training and testing environment ( such as background , audio transition channel ) , the recognition systems based on hmm tends to drastically degrade in performance
在音频信号识别特别是语音识别领域内,随着隐马尔科夫模型( hmm )的应用,使得系统的识别性能有了改进,但是由于训练和测试环境(背景噪声、音频传输信道等)的失配常常导致识别性能的严重下降。 |
