Results 211 to 220 of about 52,333 (258)
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Robust speech coding with EVS

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015
This paper discusses the voice and audio quality characteristics of EVS, the recently standardized 3GPP codec. Especially frame erasure conditions were evaluated. Comparison to industry standard voice codecs: 3GPP AMR and AMR-WB as well as direct signals at varying bandwidths was made.
Anssi Rämö   +2 more
openaire   +1 more source

Code Is Not Speech

SSRN Electronic Journal, 2016
Advocates understand the idea that “code is speech” to create an impenetrable legal shield around anything built of programming code. When they do this they misunderstand, or misrepresent, free speech law (and rights law in general), which rarely creates such impenetrable shields, the principles that underlie that law, and the ways those principles ...
openaire   +1 more source

Speech coding using efficient block codes

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Digital coders invariably introduce errors into analog signals such as speech. The importance of adjusting the spectrum of the error so as to minimize the subjective distortion is now well recognized. The optimum noise spectrum for minimum subjective distortion is in general non-flat.
Manfred R. Schroeder, Bishnu S. Atal
openaire   +1 more source

The RCELP speech‐coding algorithm

European Transactions on Telecommunications, 1994
AbstractAt bit rates between 4 and 16 kbit/s, many state‐of‐the‐art speech coding algorithms fall into the class of linear‐prediction based analysis‐by‐synthesis (LPAS) speech coders. At the lower bit rates the waveform‐matching, on which LPAS coders rely, constrains the speech quality.
W. Bastiaan Kleijn   +2 more
openaire   +1 more source

Some coding properties of speech

Speech Communication, 2003
Some important properties of speech are considered from the point of view of the theory of error correcting codes. It has found experimentally that the properties of Russian words encoded in terms of phonemes are largely similar to the properties of the so-called prefix codes. In the prefix codes, no code word is a prefix of another word.
openaire   +1 more source

Speech phones are a replication code

Medical Hypotheses, 1998
Our ability to map sound into pronunciation--vocal imitation--is necessary for vocabulary learning, and so the existence of language. It is also unexplained. Here I show that speech is imitable due because of the brain's use of the innate sensitivities of the vertebrate auditory system for speech motor targets.
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Chaos for Speech Coding and Production

2011
The presence of nonlinearity and chaotic behavior in the human speech production system has been reported previously; however to date chaotic dynamics has not been widely exploited in speech coding and artificial speech production algorithms. In this paper we illustrate how we can utilize chaotic dynamics in speech coding and synthesis and discuss how ...
Behnam Kia   +2 more
openaire   +1 more source

Correction to "Speech coding"

IEEE Transactions on Communications, 1979
James L. Flanagan   +5 more
openaire   +1 more source

Temporal Code and Speech Recognition

Acta Oto-Laryngologica, 2000
The hypothesis that temporal code is mainly responsible for speech recognition is discussed. Data from cochlear implant research demonstrate that single-channel speech processors, supplying only temporal code, enable understanding of spoken language. Physiological findings supporting the observation are presented.
openaire   +2 more sources

Speech coding techniques and challenges: a comprehensive literature survey

Multimedia Tools and Applications, 2023
G Thimmaraja Yadava
exaly  

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