An Improved Signal Subspace Algorithm for Speech Enhancement - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

An Improved Signal Subspace Algorithm for Speech Enhancement

Xuzheng Dai
  • Fonction : Auteur
  • PersonId : 985676
Baoxian Yu
  • Fonction : Auteur
  • PersonId : 985677
Xianhua Dai
  • Fonction : Auteur
  • PersonId : 985678

Résumé

Most of the algorithms for speech enhancement are designed to improve the speech listening comfort. However the frequency spectrum character is destroyed seriously after the speech enhancement. To achieve better speech listening comfort with less frequency spectral damages, we present an improved signal subspace algorithm for speech enhancement. Compared with the traditional signal space method, the improved algorithm can decrease the Mel-frequency Cepstral Coefficients (MFCC) distance, an evaluation measure which means less frequency spectral damages to the voice and keep the voices’ intelligence at the same time. Besides, the method can enlarge the distance of the easily confused voices, which means the improvement of the voice recognition ratio. Thus we get the purpose of the speech enhancement. The improved algorithm is used in a speech recognition program and has a good performance.
Fichier principal
Vignette du fichier
978-3-662-45526-5_10_Chapter.pdf (4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01342134 , version 1 (05-07-2016)

Licence

Paternité

Identifiants

Citer

Xuzheng Dai, Baoxian Yu, Xianhua Dai. An Improved Signal Subspace Algorithm for Speech Enhancement. 13th Conference on e-Business, e-Services and e-Society (I3E), Nov 2014, Sanya, China. pp.104-114, ⟨10.1007/978-3-662-45526-5_10⟩. ⟨hal-01342134⟩
72 Consultations
260 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More