Low Bit-Rate Speech Codec Based on a Long-Term Harmonic Plus Noise Model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of the Audio Engineering Society Année : 2016

Low Bit-Rate Speech Codec Based on a Long-Term Harmonic Plus Noise Model

Résumé

The long-term harmonic plus noise model (LT-HNM) for speech shows an interesting data compression, since it exploits the smooth evolution of the time trajectories of the short-term harmonic plus noise model parameters, by applying a discrete cosine model (DCM). In this paper, we extend the LT-HNM to a complete low bit-rate speech coder. A Normalized Split Vector Quantization (NSVQ) is proposed to quantize the variable dimension LT-DCM vectors. The NSVQ is designed according to the properties of the DCM vectors obtained from a standard speech database. The obtained LT-HNM coder reaches an average bit-rate of 2.7kbps for wideband speech. The proposed coder is evaluated in terms of modeling and coding errors, bit-rate, listening quality and intelligibility. Index Terms Low bit-rate, speech coding, long term modeling, harmonic plus noise model, variable dimension vector quantization.
Fichier principal
Vignette du fichier
AuthorPostprint_LTHNM_LowBitrateCoder_JAES2016.pdf (395.07 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02520614 , version 1 (26-03-2020)

Identifiants

Citer

Faten Ben Ali, Sonia Djaziri-Larbi, Laurent Girin. Low Bit-Rate Speech Codec Based on a Long-Term Harmonic Plus Noise Model. Journal of the Audio Engineering Society, 2016, 64 (11), pp.844-857. ⟨10.17743/jaes.2016.0028⟩. ⟨hal-02520614⟩
72 Consultations
75 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More