Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Robust speech recognition using the modulation spectrogram
Speech Communication - Special issue on robust speech recognition
Scalable and progressive audio codec
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Perceptually Motivated Sub-band Decomposition for FDLP Audio Coding
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
Error Resilient Speech Coding Using Sub-band Hilbert Envelopes
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Frequency domain linear prediction for QMF sub-bands and applications to audio coding
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Speech coding based on spectral dynamics
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Autoregressive Modeling of Temporal Envelopes
IEEE Transactions on Signal Processing
Digital media information compression through auditory content analysis
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
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We revisit an original concept of speech coding in which the signal is separated into the carrier modulated by the signal envelope. A recently developed technique, called frequency-domain linear prediction (FDLP), is applied for the efficient estimation of the envelope. The processing in the temporal domain allows for a straightforward emulation of the forward temporal masking. This, combined with an efficient nonuniform sub-band decomposition and application of noise shaping in spectral domain instead of temporal domain (a technique to suppress artifacts in tonal audio signals), yields a codec that does not rely on the linear speech production model but rather uses well-accepted concept of frequency-selective auditory perception. As such, the codec is not only specific for coding speech but also well suited for coding other important acoustic signals such as music and mixed content. The quality of the proposed codec at 66 kbps is evaluated using objective and subjective quality assessments. The evaluation indicates competitive performance with the MPEG codecs operating at similar bit rates.