Speech coding

Speech coding is an application of data compression of digital audio signals containing speech. Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.

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enSpeech coding is an application of data compression of digital audio signals containing speech. Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream.
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enSpeech coding is an application of data compression of digital audio signals containing speech. Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream. Some applications of speech coding are mobile telephony and voice over IP (VoIP). The most widely used speech coding technique in mobile telephony is linear predictive coding (LPC), while the most widely used in VoIP applications are the LPC and modified discrete cosine transform (MDCT) techniques. The techniques employed in speech coding are similar to those used in audio data compression and audio coding where knowledge in psychoacoustics is used to transmit only data that is relevant to the human auditory system. For example, in voiceband speech coding, only information in the frequency band 400 to 3500 Hz is transmitted but the reconstructed signal is still adequate for intelligibility. Speech coding differs from other forms of audio coding in that speech is a simpler signal than most other audio signals, and a lot more statistical information is available about the properties of speech. As a result, some auditory information that is relevant in audio coding can be unnecessary in the speech coding context. In speech coding, the most important criterion is preservation of intelligibility and pleasantness of speech, with a constrained amount of transmitted data. In addition, most speech applications require low coding delay, as long coding delays interfere with speech interaction.
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Application
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Speech coding
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enSpeech coding
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www.itu.int/rec/T-REC-P.862/
www.itu.int/net/itu-t/sigdb/genaudio/Pseries.htm
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AAC-LD
Adaptive differential pulse-code modulation
Adaptive Multi-Rate
Adaptive Transform Acoustic Coding
ADPCM
A-law algorithm
AMR-WB
Apple Inc.
Audio coding
Audio data compression
Audio signal processing
Bit rate
Category:Speech codecs
CDMA
CDMA2000
CELT
Channel coding
Codec2
Codec 2
Code-excited linear prediction
Data compression
Delta modulation
Digital audio
Digital radio
Digital signal processing
Digital telephony
Discrete cosine transform
Enhanced Full Rate
FaceTime
FNBDT
Formant synthesis
Free software
Full Rate
Fundamental frequency
G.711
G.711.1
G.722
G.722.1
G.723.1
G.726
G.728
G.729
G.729.1
GSM
Half Rate
ILBC
Intelligibility (communication)
Linear prediction
Linear predictive coding
Line spectral pairs
Mobile phone network
Mobile radio
Mobile telephony
Modified discrete cosine transform
Multi-Band Excitation
Narrowband
Opus (audio format)
Parameter estimation
PCM
Periodic function
PlayStation 4
PlayStation Network
Processing power
Psychoacoustics
Pulse-code modulation
Satellite telephone
Secure voice
Selectable Mode Vocoder
SILK
Speech
Speech interface guideline
Speech processing
Speech synthesis
Speex
Sub-band coding
Vector quantization
Very Large Scale Integration
Videoconferencing
VMR-WB
Vocoder
Voiceband
Voice over IP
Voice-over-IP
WCDMA
WhatsApp
Wideband audio
Μ-law algorithm
SameAs
32MBP
Codificación de voz
Codificador de veu
Kodowanie mowy
m.072ps
Pengekodan pertuturan
Puheen pakkaaminen
Q3270773
Runas kodēšana
ترميز الكلام
語音編碼
音声符号化
음성 부호화
Subject
Category:Speech codecs
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Speech coding?oldid=1124658014&ns=0
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Wikipage page ID
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Wikipage revision ID
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