iLBC - a linear predictive coder with robustness to packet losses

Andersen, Søren Vang; Kleijn, W. Bastiaan; Hagen, R.; Linden, J.; Murthi, Manohar N.; Skoglund, Jan

doi:10.1109/scw.2002.1215711

Cited by 57 publications

(31 citation statements)

References 2 publications

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“…There are more detailed description and discussions in [13], which covers all the related topics on assessment and prediction on speech quality of VoIP. The results in [13] estimating the I e,ef f impairment with iLBC [25], [26] Internet low bit rate codec under random loss are important and related to our results. Samir et al [32] propose other non-intrusive parametric model to estimate the subjective MOS.…”

Section: Related Worksupporting

confidence: 78%

“…From [17]- [19], one will find that SKYPE uses iLBC [25], [26] or iSAC [27] codec, both of which are the products of GlobalIPSound [28]. Authors in [12] propose a method to calculate I e,ef f , which is suitable for us because it proposes how to set the constants in the formula when the speech codec is iLBC [25], [26]. In summary, I e,ef f is I e,ef f = I e + (95 − I e ) P pl P pl + Bpl .…”

Section: Depicts the Architecture Of The Two-step Mapping Method(tsmm)mentioning

confidence: 99%

“…Early measurements on SKYPE, [17]- [19] reveal the basic properties of the software. Especially, in [17], the authors observe that the codecs used by SKYPE are iLBC [25], [26] and iSAC [27] and the network topology of SKYPE conference is the end system mixing topology [15].…”

Section: Related Workmentioning

confidence: 99%

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Performance metrics and configuration strategies for group network communication

Chiu

Lui

2007

2007 Fifteenth IEEE International Workshop on Quality of Service

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Abstract-There is an increasing number of group-based multimedia applications over the Internet, for example, voice conference or multi-player games. For these applications, it is often necessary to select a strategy to distribute the multimedia streams or mixing the multimedia stream data so as to provide better quality of service (QoS) guarantees. However, there is no appropriate metrics to evaluate the QoS of a group multimedia session, despite abundant literature on how to evaluate the QoS for two-party communication (e.g. MOS, E-Model). In this paper, we propose a new measure which is called the group mean opinion score (GMOS). To leverage on existing work, our definition of GMOS is based on two-party MOS, hence, it can be estimated via measurement of network parameters and fitting these data into the E-Model. We conduct large scale experiments using the latest SKYPE conference software. We first calibrate the GMOS based on the subjective scores of our experiments, then for individual conference sessions, we check whether our approach can pick a server configuration strategy to achieve the best GMOS. The study shows our proposed methodology is very promising and the potential of applying to other group-based applications.

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Section: Related Worksupporting

confidence: 78%

Section: Depicts the Architecture Of The Two-step Mapping Method(tsmm)mentioning

confidence: 99%

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Performance metrics and configuration strategies for group network communication

Chiu

Lui

2007

2007 Fifteenth IEEE International Workshop on Quality of Service

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“…Finally, the WGMM-based quantizer is used in a phase quantization scheme for a prototype narrowband sinusoidal codec and evaluated in terms of PESQ-MOS [28]. It is shown that an MOS score of 3.88 can be achieved with an average rate of 13 kbps for all speech parameters, a result that is similar to the performance of the iLBC 1 codec [29] (at 15.2 kbps).…”

Section: Introductionmentioning

confidence: 99%

Wrapped Gaussian Mixture Models for Modeling and High-Rate Quantization of Phase Data of Speech

Agiomyrgiannakis

Stylianou

2009

IEEE Trans. Audio Speech Lang. Process.

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Abstract-The harmonic representation of speech signals has found many applications in speech processing. This paper presents a novel statistical approach to model the behavior of harmonic phases. Phase information is decomposed into three parts: a minimum phase part, a translation term, and a residual term referred to as dispersion phase. Dispersion phases are modeled by wrapped Gaussian mixture models (WGMMs) using an expectation-maximization algorithm suitable for circular vector data. A multivariate WGMM-based phase quantizer is then proposed and constructed using novel scalar quantizers for circular random variables. The proposed phase modeling and quantization scheme is evaluated in the context of a narrowband harmonic representation of speech. Results indicate that it is possible to construct a variable-rate harmonic codec that is equivalent to iLBC at approximately 13 kbps.Index Terms-Circular statistics, , phase quantization, sinusoidal models, speech analysis, speech coding, voice-over-IP, wrapped Gaussian mixture models (WGMMs).

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“…The IETF, supported by the Internet Society (ISOC) recommends the internet Low Bit Rate Codec (iLBC) [7], [8] for speech communications over packet switched network. The iLBC treats each coding frame independently from all others, making it ideal for packet communications.…”

Section: Introductionmentioning

confidence: 99%

Complexity Scalability Design in the Internet Low Bit Rate Codec (iLBC) for Speech Coding

Chen

Kuo

2010

IEICE Trans. Inf. & Syst.

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SUMMARYDiffering from the long-term prediction used in the modern speech codec, the standard of the internet low bit rate codec (iLBC) independently encodes the residual of the linear predictive coding (LPC) frame by frame. In this paper, a complexity scalability design is proposed for the coding of the dynamic codebook search in the iLBC speech codec. In addition, a trade-off between the computational complexity and the speech quality can be achieved by dynamically setting the parameter of the proposed approach. Simulation results show that the computational complexity can be effectively reduced with imperceptible degradation of the speech quality.

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iLBC - a linear predictive coder with robustness to packet losses

Cited by 57 publications

References 2 publications

Performance metrics and configuration strategies for group network communication

Performance metrics and configuration strategies for group network communication

Wrapped Gaussian Mixture Models for Modeling and High-Rate Quantization of Phase Data of Speech

Complexity Scalability Design in the Internet Low Bit Rate Codec (iLBC) for Speech Coding

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