Scalable Noise Coder for Parametric Sound Coding
In many state-of-the-art parametric audio codecs, the signal is composed of sinusoids combined with synthetic noise. The sinusoids represent the perceptually most relevant signal part, while the remaining part is represented with noise. This structure poses a problem for developing a scalable sinusoidal coder where certain layers of the bit stream can be dropped to lower bit rate. When dropping a layer containing a significant portion of sinusoids, the accompanying synthetic noise should be adapted to fit the remaining sinusoidal components. A scheme is proposed here that can adapt the noise signal depending on the number of sinusoidal layers that are dropped without the need to send any information about the adaptation of the noise coder in the bit stream.
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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.