An HMM adaptation method for noise and distortion by maximizing likelihood

✍ Scribed by Yasuhiro Minami; Sadaoki Furui

• Book ID: 101293787
• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 215 KB
• Volume: 81
• Category: Article
• ISSN: 1042-0967
• DOI: 10.1002/(sici)1520-6440(199808)81:8<1::aid-ecjc1>3.0.co;2-n

✦ Synopsis

This paper describes a new HMM synthesis method in which HMM adapts to additive noise and multiplicative distortion. The conventional HMM synthesis method can only be applied to additive noise. In the method described here, the likelihood of the synthesized HMM to adapt to speech is maximized, so that multiplicative distortion is eliminated when the method is applied. Within the framework of this method, adaptation to variations in the SN ratio, considered a problem in conventional HMM synthesis, can be formulated as part of the adaptation to multiplicative distortion. As a result of evaluating speech recognition rates using our method, we have confirmed that the method is effective for improving the recognition rate of speech that contains additive noise and multiplicative distortion.