Non-Intrusive Speech Quality Assessment with Low Computational Complexity
2006 (English)In: INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, BAIXAS: ISCA-INST SPEECH COMMUNICATION ASSOC , 2006, 189-192 p.Conference paper (Refereed)
We describe an algorithm for monitoring subjective speech quality without access to the original signal that has very low computational and memory requirements. The features used in the proposed algorithm can be computed from commonly used speech-coding parameters. Reconstruction and perceptual transformation of the signal are not performed. The algorithm generates quality assessment ratings without explicit distortion modeling. The simulation results indicate that the proposed non-intrusive objective quality measure performs better than the ITU-T P.563 standard despite its very low computational complexity.
Place, publisher, year, edition, pages
BAIXAS: ISCA-INST SPEECH COMMUNICATION ASSOC , 2006. 189-192 p.
non-intrusive quality assessment, quality of service
Computer and Information Science General Language Studies and Linguistics
IdentifiersURN: urn:nbn:se:kth:diva-30675ISI: 000269965900048ScopusID: 2-s2.0-44949104031ISBN: 978-1-60423-449-7OAI: oai:DiVA.org:kth-30675DiVA: diva2:403047
9th International Conference on Spoken Language Processing/INTERSPEECH 2006, Pittsburgh, PA, 2006
QC 201103102011-03-102011-03-042011-03-10Bibliographically approved