No Residual Transmission: Joint Spectral-Residual Quantization

  • V. Ramasubramanian
  • Harish Doddala
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

In this chapter, we present a unit-selection based segment quantization scheme which leads to the interesting possibility of not having to transmit any side-information about the residual at all. We propose such a ‘no residual transmission’ scheme in both the segmental unit-selection framework of Lee and Cox described in Chap. 3 and the optimal 1-pass DP based unit-selection framework proposed by us and described in Chap. 4. We arrive at this ‘no residue transmission’ scheme from the important observations that unit-selection based segment quantization systems typically employ large unit-databases as in concatenative speech synthesis and that, by virtue of the largeness of the continuous codebook, it becomes possible to quantize an input segment by an unit in the unit database in such a way that the speech corresponding to the unit, after applying ‘only’ duration modification, is a close reconstruction of the input speech (of that input segment). We propose a ‘joint spectral-residual quantization’ by defining various ‘composite measures’ that combine both the spectral match and residual match, between input speech frames and unit frames, to select units that quantize an input speech segment/frame in toto. We present the rate-distortion performance trends of such a joint spectral-residual quantization in both these unit-selection frameworks for various composite measures, and show the efficacy of the proposed approach.

References

  1. [LC02]
    K.S. Lee, R.V. Cox, A segmental speech coder based on a concatenative TTS. Speech Commun. 38, 89–100 (2002)CrossRefMATHGoogle Scholar
  2. [PK95]
    K.K. Paliwal, W.B. Kleijn, Quantization of LPC parameters, in Speech Coding and Synthesis, ed. by W.B. Kleijn, K.K. Paliwal (Elsevier, Amsterdam, 1995), pp. 433–466. Chapter 12Google Scholar
  3. [RH07]
    V. Ramasubramanian, D. Harish, An optimal unit-selection algorithm for ultra low bit-rate speech coding, in Proceedings of ICASSP ’07, Hawaii, Apr 2007, pp. IC-541–IC-544Google Scholar
  4. [RH06]
    V. Ramasubramanian, D. Harish, An unified unit-selection framework for ultra low bit-rate speech coding, in Proceedings of Interspeech ’06, Pittsburgh, Sept 2006, pp. 217–220Google Scholar
  5. [RH09]
    V. Ramasubramanian, D. Harish, Ultra low bit-rate speech coding based on unit-selection with joint spectral-residual quantization: No transmission of any residual information, in Proceedings of Interspeech ’09, Brighton, Sept 2009, pp. 2615–2618Google Scholar
  6. [R12]
    V. Ramasubramanian, Ultra low bit-rate speech coding: An overview and recent results, IEEE SPCOM, Indian Institute of Science, Bangalore, 2012Google Scholar
  7. [RW85]
    S. Roucos, A.M. Wilgus, The waveform segment vocoder: a new approach for very-low-rate speech coding, in ICASSP ’85, 1985, pp. 236–239Google Scholar
  8. [SS92]
    J. Schroeter, M.M. Sondhi, Speech coding based on physiological models of speech production, in Advances in Speech Signal Processing, ed. by S. Furui, M.M. Sondhi (Dekker, New York, 1992), pp. 231–268Google Scholar
  9. [SH88]
    Y. Shiraki, M. Honda, LPC speech coding based on variable-length segment quantization”. IEEE Trans. Acoust. Speech Signal Process. 36(9), 1437–1444 (1988)CrossRefMATHGoogle Scholar

Copyright information

© The Author 2015

Authors and Affiliations

  • V. Ramasubramanian
    • 1
  • Harish Doddala
    • 2
  1. 1.PES Institute of Technology – Bangalore South CampusBangaloreIndia
  2. 2.OracleRedwood ShoresUSA

Personalised recommendations