On the efficiency of classical RASTA filtering for continuous speech recognition: Keeping the balance between acoustic pre-processing and acoustic modelling

Veth, Johan de; Boves, L.W.J.

doi:10.1016/s0167-6393(02)00030-4

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

On the efficiency of classical RASTA filtering for continuous speech recognition: Keeping the balance between acoustic pre-processing and acoustic modelling

Cited by 5 publications

References 22 publications

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech

Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech

Additive background noise as a source of non-linear mismatch in the cepstral and log-energy domain

Modeling lexical stress in continuous speech recognition for Dutch

Contact Info

Product

Resources

About