Speech Codec --- VSELP(Vector sum excited linear prediction)

VSELP是一种用于多个2G手机标准中的语音编码方法,包括IS-54、IS-136、GSM半速率语音及iDEN等。其通过分析合成的方式进行编码,并属于CELP的一种。不同标准中使用的VSELP有不同的比特率。

Vector sum excited linear prediction (VSELP) is a speech codingmethod used in several cellular standards. The VSELP algorithm is ananalysis-by-synthesis coding technique and belongs to the class ofspeech coding algorithms known as CELP (Code Excited Linear Prediction).[1]

Variations of this codec have been used in several 2G cellular telephony standards, including IS-54, IS-136 (D-AMPS), GSM (Half Rate speech) and iDEN. It was also used in the first version of RealAudio for audio over the Internet. The IS-54 VSELP standard was published by the Telecommunications Industry Association in 1989.

D-AMPS (IS-54 and IS-136) VSELP specifies an encoding of each 20 ms of speech into 159-bit frames, thus achieving a raw data rate of 7.95 kbit/s. In an actual TDMA cell phone, the vocoderoutput is packaged with error correction and signaling information,resulting in an over-the-air data rate of 16.2 kbit/s. For internetaudio, each 159-bit frame is stored in 20 bytes, leaving 1 bit unused.The resulting file thus has a data rate of exactly 8 kbit/s.

GSM half-rate VSELP (GSM 06.20) uses 20 ms frames with 112 bits perframe, giving a raw data rate of 5.6 kbit/s. The iDEN VSELP coder hasthree modes:

  • 30 ms frames at 126 bits per frame with a raw data rate of 4.2 kbit/s,
  • 22.5 ms frames at 99 bits per frame with a raw data rate of 4.4 kbit/s and
  • 22.5 ms frames at 180 bits per frame with a raw data rate of 8.0 kbit/s.

A major drawback of VSELP is its limited ability to encodenon-speech sounds, so that it performs poorly when encoding speech inthe presence of background noise. For this reason, use of VSELP hasbeen gradually phased out in favor of newer codecs.

VSELP is also the encoding method used in some early Motorola Type II trunking systems. It was phased out in favor of the newer IMBE method.

 

转自:http://en.wikipedia.org/wiki/Vector_sum_excited_linear_prediction

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