Corey I. Cheng

Moving Sound Source Synthesis for Binaural Electroacoustic Music Using Interpolated Head-Related Transfer Functions (HRTFs)

57 Corey I. Cheng* and Gregory H. Wakefield† *Dolby Laboratories 100 Potrero Avenue San Francisco, California 94103-4813, USA cnc@dolby.com http://www.eecs.umich.edu/ coreyc This work was completed at the University of Michigan, Ann Arbor. †University of Michigan Department of Electrical Engineering and Computer Science 1101 Beal Ave. Ann Arbor, Michigan 48109, USA ghw@umich.edu http://www.eecs.umich.edu/ ghw Moving Sound Source Synthesis for Binaural Electroacoustic Music Using Interpolated Head-Related Transfer Functions (HRTFs)

Audio Signature Extraction Based on Projections of Spectrograms

Content-based signatures are designed to be a robust bit-stream representation of the content so as to enable content identification even though the original content may go through various signal processing operations. In this paper, we propose a novel content-based audio signature extraction method that captures temporal evolution of the audio spectrum. The proposed method, first, divides the input audio into overlapping chunks and computes a spectrogram for each chunk. Then, it projects each of the spectrograms onto random basis vectors to create a signature that is a low-dimensional bit-stream representation of the corresponding spectrogram. Our experimental results show the robustness and sensitivity of the proposed content-based audio signature extraction method for various signal processing operations on audio content.

Low-complexity binaural decoding using time/frequency domain HRTF equalization

Binaural rendering technology is used to generate a two-channel signal from one or more channel signals, where each channel signal has associated with it a position relative to the listener. The resulting binaural signal, when played back over an appropriate device such as headphones, gives the sensation of audio signal(s) originating from the assigned position. The binaural rendering process typically involves applying a pair of Head-Related Transform Function (HRTF) equalizer to each input channel signal. The left and right ear signals from each of the input channels are then combined to generate a binaural signal. In this paper, we introduce a Time/Frequency (T/F) domain HRTF equalization technique which can be used to accomplish HRTF-based binaural rendering. The proposed technique can be conveniently combined with multi-channel/spatial decoding systems, such as multi-channel HE-AAC or MPEG surround decoder for low-complexity binaural rendering of multi-channel program.

Improved Methods for Correlating Transforms in Multiple Description Coding Systems

Multiple descriptions have been widely investigated as a quality of service technology for the delivery of multimedia information over lossy channels. This paper presents generalized methods for transform based multiple descriptions that do not introduce additional distortion to the transformed information. Previous noiseless methods place restrictions on how the information may be quantized prior to correlation. Typically, the information must be quantized with quasi-uniform quantizers which all have the same quantization step size. This paper expands these methods so that the information may be quantized with any quantizer, and different parts of the information may be quantized with different quantization step sizes. For specific correlating transforms, we propose a computationally efficient correlation transform that makes use of the Hadamard matrix