AES Journal Forum

Bit-Rate Scalable Intraframe Sinusoidal Audio Coding Based on Rate-Distortion Optimization

Document Thumbnail

A coding methodology that aims at rate-distortion optimal sinusoid + noise coding of audio and speech signals is presented. The coder divides the input signal into variable-length time segments and distributes sinusoidal components over the segments such that the resulting distortion (as measured by a perceptual distortion measure) is minimized subject to a prespecified rate constraint. The coder is bit-rate scalable. For a given target bit budget it automatically adapts the segmentation and distribution of sinusoids in a rate-distortion optimal manner. The coder uses frequency-differential coding techniques in order to exploit intrasegment correlations for efficient quantization and encoding of the sinusoidal model parameters. This technique makes the coder more robust toward packet losses when used in a lossy-packet channel environment as compared to time-differential coding techniques, which are commonly used in audio or speech coders. In a subjective listening experiment the present coder showed similar or better performance than a set of four MPEG-4 coders operating at bit rates of 16, 24, 32, and 48 kbit/s, each of which was state of the art for the given target bit rate.

JAES Volume 54 Issue 3 pp. 167-188; March 2006
Publication Date:

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.

AES - Audio Engineering Society