Improvement of In-Car Speech Recognition by Acoustic Echo Canceller with Maximum Likelihood
نویسندگان
چکیده
In this paper, as a key technology for improvement of speech recognition system in car environments, we propose an acoustic echo canceller for selecting an optimum cancellation result based on the echo estimation with maximum likelihood using transfer characteristics measured prospectively. The results of experiments conducted to speech superimposed on music show that the proposed canceller can improve S/N ratio and speech recognition rate, compared to the canceller based on the algorithm of NLMS.
منابع مشابه
روشی نو برای حذف پژواک آکوستیکی استریو با استفاده از ساختار مبتنی بر الگوریتم وفقی با ورودی برش یافته
Stereophonic acoustic echo cancellation is one of the expanding areas in the field of the speech/multimedia communication systems. In a conventional stereophonic acoustic echo canceller, working in a stereo communication system, the existence of the strong cross-correlation between the input signals to the two channels has the problem of the low convergence speed of the weights of the adaptive ...
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