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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    International journal of speech technology 2 (1999), S. 317-327 
    ISSN: 1572-8110
    Keywords: sinusoidal coding ; vector quantization ; EMBE coder ; satellite communications ; variable dimension VQ
    Source: Springer Online Journal Archives 1860-2000
    Topics: Linguistics and Literary Studies , Computer Science
    Notes: Abstract At bit rates of 4 kbps and below, conventional time-domain algorithms such as CELP fail to retain high voice quality and robust performance against background noise as their waveform-matching ability is curtailed by the severely limited codebook space. Spectral coding, on the other hand, offers an effective parametric model, amenable for low-rate implementation. Instead of performing waveform matching, spectral coders preserve only the perceptually important spectral attributes of the speech signal. Spectral coding algorithms encompass a broad family of emerging low-rate speech coding techniques, the common goal being the representation of the short-term spectrum of input speech with a limited set of spectral parameters and the synthesis of the output speech with a set of sinusoids. Pitch, frequency-domain voicing information, and a varying number of spectral magnitudes are the usual parameters of spectral coders. In this paper, we present the enhanced multiband excitation (EMBE) coder as an illustration of this new generation of low-rate spectral coders. The distinguishing features of EMBE are: (a) signaladaptive multimode spectral modeling and parameter quantization, (b) two-band signal-adaptive frequency-domain voicing decision, (c) a novel VQ scheme for the efficient encoding of the variable-dimension spectral magnitude vectors at low-rates, and (d) multi-class selective protection of spectral parameters from channel errors. A 4 kbps implementation of the EMBE spectral coding algorithm with 2.9 kbps source coding and 1.1 kbps for channel coding was specifically designed for satellite-based communication systems, targeting good voice quality at low bit rates and robust performance against channel errors. Fundamental concepts of the EMBE spectral coding algorithm, implementation details, and performance comparisons of the 4 kbps EMBE coder with earlier coders are reported.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 1976-01-01
    Print ISSN: 0021-8979
    Electronic ISSN: 1089-7550
    Topics: Physics
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  • 3
    Publication Date: 1992-05-01
    Print ISSN: 0196-2892
    Electronic ISSN: 1558-0644
    Topics: Architecture, Civil Engineering, Surveying , Geography
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  • 4
    Publication Date: 1977-05-01
    Print ISSN: 0006-3495
    Electronic ISSN: 1542-0086
    Topics: Biology , Physics
    Published by Cell Press
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  • 5
    Publication Date: 2011-08-19
    Description: Attention is given to a working vector quantization processor for speech coding that is based on a first-generation VLSI chip which efficiently performs the pattern-matching operation needed for the codebook search process (CPS). Using this chip, the CPS architecture has been successfully incorporated into a compact, single-board Vector PCM implementation operating at 7-18 kbits/sec. A real time Adaptive Vector Predictive Coder system using the CPS has also been implemented.
    Keywords: COMMUNICATIONS AND RADAR
    Type: IEEE Journal on Selected Areas in Communications (ISSN 0733-8716); SAC-4; 112-124
    Format: text
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  • 6
    Publication Date: 2011-08-19
    Description: This paper will discuss three 4800 bps digital speech compression techniques currently being investigated for application in the mobile satellite service. These three techniques, vector adaptive predictive coding, vector excitation coding, and the self excited vocoder, are the most promising among a number of techniques being developed to possibly provide near-toll-quality speech compression while still keeping the bit-rate low enough for a power and bandwidth limited satellite service.
    Keywords: COMMUNICATIONS AND RADAR
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  • 7
    Publication Date: 2013-08-31
    Description: A speech compression project has recently been completed to develop a speech coding algorithm suitable for operation in a mobile satellite environment aimed at providing telephone quality natural speech at 4.8 kbps. The work has resulted in two alternative techniques which achieve reasonably good communications quality at 4.8 kbps while tolerating vehicle noise and rather severe channel impairments. The algorithms are embodied in a compact self-contained prototype consisting of two AT and T 32-bit floating-point DSP32 digital signal processors (DSP). A Motorola 68HC11 microcomputer chip serves as the board controller and interface handler. On a wirewrapped card, the prototype's circuit footprint amounts to only 200 sq cm, and consumes about 9 watts of power.
    Keywords: COMMUNICATIONS AND RADAR
    Type: Jet Propulsion Lab., Proceedings of the Mobile Satellite Conference; p 485-490
    Format: application/pdf
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  • 8
    Publication Date: 2013-08-31
    Description: In an effort to foster the development of new technologies for the emerging land mobile satellite communications services, JPL funded two development contracts in 1984: one to the Univ. of Calif., Santa Barbara and the other to the Georgia Inst. of Technology, to develop algorithms and real time hardware for near toll quality speech compression at 4800 bits per second. Both universities have developed and delivered speech codecs to JPL, and the UCSB codec was extensively tested by JPL in a variety of experimental setups. The basic UCSB speech codec algorithms and the test results of the various experiments performed with this codec are presented.
    Keywords: COMMUNICATIONS AND RADAR
    Type: Proceedings of the 2nd International Mobile Satellite Conference (IMSC 1990); p 647-653
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  • 9
    Publication Date: 2019-06-28
    Description: A class of adaptive vector quantizers (VQs) that can dynamically adjust the 'gain' of codevectors according to the input signal level is introduced. The encoder uses a gain estimator to determine a suitable normalization of each input vector prior to VQ coding. The normalized vectors have reduced dynamic range and can then be more efficiently coded. At the receiver, the VQ decoder output is multiplied by the estimated gain. Both forward and backward adaptation are considered and several different gain estimators are compared and evaluated. An approach to optimizing the design of gain estimators is introduced. Some of the more obvious techniques for achieving gain adaptation are substantially less effective than the use of optimized gain estimators. A novel design technique that is needed to generate the appropriate gain-normalized codebook for the vector quantizer is introduced. Experimental results show that a significant gain in segmental SNR can be obtained over nonadaptive VQ with a negligible increase in complexity.
    Keywords: COMMUNICATIONS AND RADAR
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  • 10
    Publication Date: 2019-08-16
    Description: A real-time vector adaptive predictive coder which approximates each vector of K speech samples by using each of M fixed vectors in a first codebook to excite a time-varying synthesis filter and picking the vector that minimizes distortion. Predictive analysis for each frame determines parameters used for computing from vectors in the first codebook zero-state response vectors that are stored at the same address (index) in a second codebook. Encoding of input speech vectors s.sub.n is then carried out using the second codebook. When the vector that minimizes distortion is found, its index is transmitted to a decoder which has a codebook identical to the first codebook of the decoder. There the index is used to read out a vector that is used to synthesize an output speech vector s.sub.n. The parameters used in the encoder are quantized, for example by using a table, and the indices are transmitted to the decoder where they are decoded to specify transfer characteristics of filters used in producing the vector s.sub.n from the receiver codebook vector selected by the vector index transmitted.
    Keywords: Computer Programming and Software
    Format: application/pdf
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