ENTROPY BASED STEGANOGRAPHY IN INACTIVE FRAMES OF VOIP STREAMS

In this paper we introduce a novel technique to identify the voice (active frames) and silent regions (inactive
frames) of a speech stream very much suitable for VoIP calls. High-capacity steganography algorithm for embedding data in the inactive frames .Then inactive frames are encoded by G.723.1 source codec, which is used extensively in Voice over Internet Protocol (VoIP).Here in this paper we have proposed an approach of steganography on audio signals..Here we have proposed a voice activity detection (VAD) method for detecting the active and inactive frames in the audio streams. As the data embedding capacity is very high on inactive frames of the audio signals than in the active frames, we have to detect the inactive frames of the audio signal efficiently. Thus here we have proposed a better voice activity detection based on the entropy algorithm for VoIP applications. Entropy Voice Activity Detection algorithms for VoIP applications can save bandwidth by filtering the frames that do not contain speech .On evaluating the proposed
approach with the existing methods, our approach yield a better saving in bandwidth ,yet maintaining high capacity of data embedding. Our algorithm yields comparatively better saving in bandwidth, yet maintaining good quality of the speech streams.