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Harmonic Vector Excitation Coding

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Title: Harmonic Vector Excitation Coding  
Author: World Heritage Encyclopedia
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Subject: MPEG-4 Part 3, MPEG-4, List of codecs, Speech codecs, Compression formats
Collection: Speech Codecs
Publisher: World Heritage Encyclopedia

Harmonic Vector Excitation Coding

Harmonic Vector Excitation Coding, abbreviated as HVXC is a speech coding algorithm specified in MPEG-4 Part 3 (MPEG-4 Audio) standard for very low bit rate speech coding. HVXC supports bit rates of 2 and 4 kbit/s in the fixed and variable bit rate mode and sampling frequency 8 kHz. It also operates at lower bitrates, such as 1.2 - 1.7 kbit/s, using a variable bit rate technique.[1] The total algorithmic delay for the encoder and decoder is 36 ms.[2]

It was published as subpart 2 of ISO/IEC 14496-3:1999 (MPEG-4 Audio) in 1999.[3] An extended version of HVXC was published in MPEG-4 Audio Version 2 (ISO/IEC 14496-3:1999/Amd 1:2000).[4][5]

MPEG-4 Natural Speech Coding Tool Set uses two algorithms: HVXC and CELP (Code Excited Linear Prediction). HVXC is used at a low bit rate of 2 or 4 kbit/s. Higher bitrates than 4 kbit/s in addition to 3.85 kbit/s are covered by CELP.[6]


  • Technology 1
    • Linear Predictive Coding 1.1
    • Voiced (Harmonic) Residual Coding 1.2
    • Voiceless (VXC) Residual Coding 1.3
  • References 2


Linear Predictive Coding

HVXC uses Linear predictive coding (LPC) with block-wise adaptation every 20ms.[2] The LPC parameters are transformed to Line spectral pair (LSP) coefficients, which are jointly quantized.[2] The LPC residual signal is classified as either voiced or unvoiced. In the case of voiced speech, the residual is coded in a parametric representation (operating as a vocoder), while in the case of unvoiced speech, the residual waveform is quantized (thus operating as hybrid speech codec).

Voiced (Harmonic) Residual Coding

In voiced segments, the residual signal is represented by two parameters: the pitch period and the spectral envelope.[2] The pitch period is estimated from the peak values of the autocorrelation of the residual signal.[2] In this process, the residual signal is compared against shifted copies of itself, and the shift which yields the greatest similarity by measure of linear dependence is identified as the pitch period. The spectral envelope is represented by a set of amplitude values, one per harmonic.[2] To extract these values, the LPC residual signal is transformed into the DFT-domain.[2] The DFT-spectrum is segmented into bands, one band per harmonic. The frequency band for the m-th harmonic consists of the DFT-coefficients from (m-1/2)ω0 to (m+1/2)ω0, ω0 being the pitch frequency.[2] The amplitude value for the m-th harmonic is chosen to optimally represent these DFT-coefficients.[2] Phase information is discarded in this process. The spectral envelope is then coded using variable-dimension weighted vector quantization. This process is also referred to as Harmonic VQ.

To make speech with a mixture of voiced and unvoiced excitation sound more natural and smooth, three different modes of voiced speech (Mixed Voiced-1, Mixed Voiced-2, Full Voiced) are differentiated.[2] The degree of voicing is determined by the value of the normalized autocorrelation function at a shift of one pitch period. Depending on the chosen mode, different amounts of band-pass Gaussian noise are added to the synthesized harmonic signal by the decoder.

Voiceless (VXC) Residual Coding

Unvoiced segments are encoded according to the CELP scheme, which is also referred to as vector excitation coding (VXC).[2] The CELP coding in HVXQ is performed using only a stochastic codebook. In other CELP codecs, a dynamic codebook is used additionally to perform long-term prediction of voiced segments. However, since HVXC does not use CELP for voiced segments, the dynamic codebook is omitted from the design.


  1. ^  
  2. ^ a b c d e f g h i j k Masayuki Nishiguchi (2006-04-17), Harmonic vector excitation coding of speech (PDF), Acoustical Science and Technology, retrieved 2009-10-09 
  3. ^  
  4. ^  
  5. ^  
  6. ^ Karlheinz Brandenburg, Oliver Kunz, Akihiko Sugiyama. "MPEG-4 Natural Audio Coding - Natural Speech Coding Tools" (PDF). Retrieved 2013-03-25. 
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