A Scalable CELP/Transform Coder for Low Bit Rate Speech and Audio Coding
With the increase of channel capacity in communication systems, several emerging applications require an acceptable reproduction quality for speech signals at low bit-rates, and a superior quality for any kinds of audio inputs when more bandwidth is available. To meet this requirement, we propose a new scalable audio coding algorithm. The proposed coder consists of a wideband speech coder embedded in a multi-layer transform coding algorithm. The transform coefficients are quantized using a scalable lattice vector quantization. The global system exhibits low computational complexity and memory requirements, and leads to a very fine grained scalability. The new coding algorithm is suitable for communications over heterogeneous networks with no or uneven guarantee on the quality of service (QoS) for packet delivery.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members, $5 for AES members and is free for E-Library subscribers.