2018 INTERSPEECH INTERSPEECH 2018

Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization

Abstract

In this paper, the predictive block-constrained trellis coded vector quantization (BC-TCVQ) schemes are developed for quantization of multiple frames line spectral frequency (LSF) parameters. The consecutive LSF frames are interleaved to subvectors for trellis modeling. The predictive BC-TCVQ systems are then designed to encode multi-frame LSF parameters. The performance evaluation of proposed schemes is compared with the single-frame LSF encoding methods using multi-stage vector quantization (MSVQ) and predictive block-constrained trellis coded quantization (BC-TCQ), demonstrating significant reduction of bit rate for transparent coding. The developed multi-frame LSF quantization schemes show satisfactory performance even at very low encoding rate and thus can be efficiently applied to the speech coders with moderate delay.

🌉 Interdisciplinary Bridge — Computer Science and Machine Learning
🧭 Keyword Pioneer — trellis coding
🐣 Hot Topic Early Bird — vector quantization
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio