This paper describes parameter setting of noise reduction filter using speech recognition system. Parameter setting problem is usually solved by maximization or minimization of some objective evaluation functions such as correlation and statistical independence. However, when we consider a single-channel noisy signal, it is difficult to employ such objective functions. It is also difficult to employ them when we consider impulsive noise because its duration is very small to use this assumption. To solve the problems, we directly use a speech recognition system as evaluation function for parameter setting. As an example, we employ time-frequency e-filter and Julius as a filtering system and a speech recognition system, respectively. The experimental results show that the proposed approach has a potential to set the parameter in unknown environments.
|ホスト出版物のタイトル||ICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation|
|出版ステータス||Published - 2010|
|イベント||International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010 - Valencia|
継続期間: 2010 10 24 → 2010 10 26
|Other||International Conference on Neural Computation, ICNC 2010 and of the International Conference on Fuzzy Computation, ICFC 2010|
|Period||10/10/24 → 10/10/26|
ASJC Scopus subject areas