Speech coding, a specialized form of data compression, is important in the telecommunication area.

For this reason, LSPs are very useful in speech coding.

The main uses of VAD are in speech coding and speech recognition.

Speech coding is an application of data compression of digital audio signals containing speech.

The two most important applications of speech coding are mobile telephony and Voice over IP.

Among the technologies it accused Steve Jobs and his team of "borrowing" were wireless data, speech coding, security and encryption.

It is based on the CELP speech coding algorithm.

It is also used in MPEG-4 Audio speech coding.

As a result, some auditory information which is relevant in audio coding can be unnecessary in the speech coding context.

Codec2 is a low-bitrate speech audio codec (speech coding) that is patent free and open source.

Residual-excited linear prediction (RELP) is an obsolete speech coding algorithm.

Voice engines are highly optimized software subsystems due to the mathematically complex signal processing required for voice filtering and speech coding.

This codec has been designed to provide better quality and more flexibility than the existing ITU-T G.729 speech coding standard.

H.324/I terminals shall support interoperation with voice telephones using G.711 speech coding, if the connected network supports transmission and reception of G.711.

In speech coding, the most important criterion is preservation of intelligibility and "pleasantness" of speech, with a constrained amount of transmitted data.

Vector sum excited linear prediction (VSELP) is a speech coding method used in several cellular standards.

In addition to the actual speech coding of the signal, it is often necessary to use channel coding for transmission, to avoid losses due to transmission errors.

PDAs are used in various contexts (e.g. phonetics, music information retrieval, speech coding, musical performance systems) and so there may be different demands placed upon the algorithm.

The bilinguals behaved usually as English speakers, and clearly showed all the normal effects of speech coding (homophone/non-homophone differences and overt rehearsal better than silent rehearsal).

Subpart 3: Speech coding - CELP (Code Excited Linear Prediction)

Compression of human speech is often performed with even more specialized techniques; speech coding, or voice coding, is sometimes distinguished as a separate discipline from audio compression.

The speech coding rate of 7.95 kbit/s achieves a reconstructed speech quality similar to that of the analog AMPS system using frequency modulation.

The AAC-LD coding scheme bridges the gap between speech coding schemes and high quality audio coding schemes.

Subpart 2: Speech coding - HVXC (Harmonic Vector eXcitation Coding)

Baddeley's (1979) work on speech coding as basic to reading development has direct application in studies of dyslexic children, where speech coding can be shown not to occur.