A 16, 24, 32 kbit/s wideband speech codec based on ATCELP

Combescure, P.; Schnitzler, J.; Fischer, Katrin; Kircherr, R.; Lamblin, C.; Guyader, Alain Le; Massalaux, D.; Quinquis, Catherine; Stegmann, Joachim; Vary, Peter

doi:10.1109/icassp.1999.758048

Cited by 14 publications

(7 citation statements)

References 5 publications

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“…2. Particles move in a multidimensional search space and each particle has a velocity and a position as (11) and (12), respectively:…”

Section: Pso Algorithmmentioning

confidence: 99%

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Hybrid of PSO and SOM neural network for immittance spectral frequency quantization in AMR-WB speech codecs

Sheikhan

2013

The 5th Conference on Information and Knowledge Technology

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Adaptive multi-rate wideband (AMR-WB) speech coding algorithm is standardized by 3 rd Generation Partnership Project (3GPP) and third generation/wideband code division multiple access (WCDMA 3G) system and has several applications in mobile communication systems, audio and video teleconferencing, and digital radio broadcasting. To reduce the bit rate in AMR-WB, vector quantization (VQ) technique is used. In this paper, a self-organizing map (SOM) neural network is used instead of traditional VQ method proposed in ITU-T G.722.2 recommendation for AMR-WB speech coding. As another contribution of this study, the SOM is trained using a modified supervised training algorithm whose training parameters are optimized by particle swarm optimization (PSO) algorithm. The total number of operations in the proposed method is reduced as compared to split vector quantizer (S-SVQ) and split multistage vector quantizer (S-MSVQ) with no significant spectral distortion.

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“…2. Particles move in a multidimensional search space and each particle has a velocity and a position as (11) and (12), respectively:…”

Section: Pso Algorithmmentioning

confidence: 99%

“…Design of codebook can be performed by clustering algorithms such as C-means and fuzzy C-means algorithms [9]. On the other hand, switched split vector quantizer (S-SVQ) [10] and split multistage vector quantizer (S-MSVQ) [11], are proposed in ITU-T recommendations to reduce the complexity and bit rate of the speech coders.…”

Section: Introductionmentioning

confidence: 99%

Hybrid of PSO and SOM neural network for immittance spectral frequency quantization in AMR-WB speech codecs

Sheikhan

2013

The 5th Conference on Information and Knowledge Technology

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“…In recent years, speech coding research has been focused on coding kHz bandwidth, rather than kHz bandwidth, speech signals in an effort to increase the perceived speech quality [37]- [40]. The challenge in this context has been the encoding of the speech spectral components above 3.4 kHz, which on average account for less than 1% of the speech energy, yet they substantially influence the perceived speech quality.…”

Section: The Picturetel Codecmentioning

confidence: 99%

“…A plausible approach is to separate these two bands using subband coding, which allows the designer to independently control the number of bits allocated to them. A more refined approach is to invoke frequency-domain coding techniques, such as transform coding [35], [40] which allows a more intelligent, finely grained distribution of the available coding bits to the most important audio signal frequencies. Furthermore, the bit rate can be adaptively controlled in an effort to find the best compromise in terms of loading the AOFDM subcarriers more heavily in order to increase the available bit rate for maintaining a higher speech coding rate and higher speech quality, while maintaining also a high robustness against transmission errors.…”

Section: The Picturetel Codecmentioning

confidence: 99%

A turbo-coded burst-by-burst adaptive wide-band speech transceiver

Keller

Münster²,

Hanzo³

2000

IEEE J. Select. Areas Commun.

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Abstract-Turbo-coded burst-by-burst adaptive orthogonal frequency division multiplex (AOFDM) wide-band speech transceivers are proposed. A constant throughput adaptive OFDM transceiver was designed and benchmarked against a time-variant rate scheme. The proposed joint adaptation of source-codec, channel-codec, and modulation regime results in attractive, robust, high-quality audio systems, capable of conveying near-unimpaired wide-band audio signals over fading dispersive channels for signal-to-noise ratios (SNR) in excess of about 5 dB.

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“…During the last years, research in the area of wideband source coding has been concentrating on target bit rates of 16, 24 and 32kb/s [2,3], aimed at wireline applications such as wideband telephony and audio/video teleconferencing and also at packet transmission applications, such as multimedia services. Recently, the ITU-T has been involved in the standardisation of a family of wideband speech and audio coders operating at the same bit rates.…”

Section: Introductionmentioning

confidence: 99%

Lowdelay combined wideband speech and audio coding with scalable bit rates

Farrugia¹,

Kondoz

2001

IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.

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The integration of fixed and wireless networks have expanded the range in which speech and audio coders were designed to operate. As a result, current research is focusing on a number of developments including algorithms which are able to adapt to different transmission environments and to operate under multiple constraints of bit rate, complexity, delay, robustness to bit errors and diversity of input signals. In this paper, we propose a single coding algorithm for compressing wideband speech and audio signals (0-8kHz) operating with scalable bit rates and with low delay. The algorithm is based on the backward-adaptive linear predictive coding (BA LPC) technique in conjunction with an efficient closedloop optimised excitation structure consisting of sparse pulses of ternary values. The output bit rates range from 17 to 68kb/s. The scalability feature is achieved by means of discrete quantisation layers representing various levels of enhancements of the base-line coder and also flexibility in terms of complexity and bit allocation requirements depending on the particular application and on the network resources. An evaluation of the performance of the coder operating at 17kb/s is carried out using the G.722 standard as a reference.

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A 16, 24, 32 kbit/s wideband speech codec based on ATCELP

Cited by 14 publications

References 5 publications

Hybrid of PSO and SOM neural network for immittance spectral frequency quantization in AMR-WB speech codecs

Hybrid of PSO and SOM neural network for immittance spectral frequency quantization in AMR-WB speech codecs

A turbo-coded burst-by-burst adaptive wide-band speech transceiver

Lowdelay combined wideband speech and audio coding with scalable bit rates

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