Title :
Audio Masking for Watermark Embedding under Time Domain Audio Signals
Author :
Trivedi, Munesh Chandra ; Trivedi, Naresh Kumar
Author_Institution :
Dept. of Comput. Sci. & Eng., ABES Eng. Coll., Ghaziabad, India
Abstract :
Audio watermarking becomes buzzword in multimedia industry. The protection of ownership for audio clip is very critical issue in the field of multimedia industry. In this paper we present a novel approach for watermarking the audio signal samples by masking the audio samples to generate the key for embedding in inaudible range of frequencies in time domain of the audio signals. The secret key is generated bu taking Pseudo Sequence number generation during the mask process of audio samples. This Pseudo Sequence number is based upon the human auditory system and its perception. Finally, watermark algorithm embeds the key bit audio into original host audio. There are also different categories of attacks are tested on the watermarked audio signals the needed results are tabulated accordingly.
Keywords :
audio signal processing; audio watermarking; hearing; random number generation; random sequences; signal sampling; speech intelligibility; time-domain analysis; audio masking; audio watermarking; human auditory system; multimedia industry; pseudo sequence number generation; time domain audio signal sampling; Encoding; Frequency-domain analysis; Noise; Psychoacoustic models; Time-domain analysis; Watermarking; Human Auditory System; International Federation of Ponographic Industry; Signal to Noise Ratio; Sound Pressure Level;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.166