07-10-2010, 04:54 PM
[attachment=5342]
A NOVEL METHOD OF COMPRESSING SPEECH WITH HIGHER BANDWIDTH EFFICIENCY
INTRODUCTION:
Today, rapid speech transmission has become critical in many applications. With more quality being demanded by the end-user, and an increase in bandwidth usage, the delivery of audio and allied applications on demand cannot be left behind.
In this paper, we wish to present a new algorithm for speech compression using the frequency domain approach.
The same method has also been used in the compression of static images also.
To transmit a speech signal digitally, we have a lot of schemes.
• Sampling the signal in time domain.(PCM,DPCM,ADPCM,DM)
• Dividing the signal into number of sub-bands and encoding them separately (Adaptive sub-band coding)
• Encoding information about how the speech signal was produced by the human vocal system (Vocoders, RELP, CELP, LPC)
We are trying to introduce another scheme that utilizes the properties of speech signals and transmits at a lower bit rate and reconstructs the signal back with less distortion.
A NOVEL METHOD OF COMPRESSING SPEECH WITH HIGHER BANDWIDTH EFFICIENCY
INTRODUCTION:
Today, rapid speech transmission has become critical in many applications. With more quality being demanded by the end-user, and an increase in bandwidth usage, the delivery of audio and allied applications on demand cannot be left behind.
In this paper, we wish to present a new algorithm for speech compression using the frequency domain approach.
The same method has also been used in the compression of static images also.
To transmit a speech signal digitally, we have a lot of schemes.
• Sampling the signal in time domain.(PCM,DPCM,ADPCM,DM)
• Dividing the signal into number of sub-bands and encoding them separately (Adaptive sub-band coding)
• Encoding information about how the speech signal was produced by the human vocal system (Vocoders, RELP, CELP, LPC)
We are trying to introduce another scheme that utilizes the properties of speech signals and transmits at a lower bit rate and reconstructs the signal back with less distortion.