In this paper robust audio watermarking based on chirp signal is proposed which also includes capability of blind self-authentication. Watermark sequence is extracted from the original audio signal based on sub-bands energy obtained by using wavelet decomposition. The watermarking scheme is such that the watermark sequence remains unchanged for the original and watermarked audio. This enables t...

This paper focuses on combining audio-visual signals for Polish speech recognition in conditions of highly disturbed audio speech signal. Recognition of audio-visual speech was based on combined hidden Markov models (CHMM). Described methods where developed for a single isolated command, nevertheless their effectiveness indicated that they would also work similarly in continuous audio-visual sp...

Many of the adaptive watermarking schemes reported in the literature consider only local audio signal properties. Many schemes require complex computation along with manual parameter settings. In this paper, we propose a novel, fuzzy, adaptive audio watermarking algorithm based on both global and local audio signal properties. The algorithm performs well for dynamic range of audio signals witho...

Audio-visual speech recognition leads to significant improvements compared to pure audio recognition especially when the audio signal is corrupted by noise. In this article we investigate the consequences of additional degradations in the video signal on the audio-visual recognition process.. We degrade the images with noise, a JPEG compression, and errors in the localization of the mouth regio...

This paper presents a approach for noise reduction or cancellation of noise through Least Mean Square algorithm. Filtering method is used for this approach is adaptive filtering. when the signal introduced by noise it get distorted and disturbed by the noise and hence reduced audio quality. Here to overcome this problem we use this filtering technique. This technique helps to improve audio qual...

Methods for spectral analysis of audio signals and their graphical display are widespread. However, assessing music and audio in the visual domain involves a number of challenges in the translation between auditory images into mental or symbolically represented concepts. This paper presents a spectral analysis method that exists entirely in the auditory domain, and results in an auditory presen...

Multichannel audio rendering allows for the immersion of a listener into a rich acoustic scene, as compared to traditional stereophonic methods. Nevertheless, the excessive transmission and storage requirements of multichannel audio pose a considerable obstacle towards its widespread usage. A novel method is presented here with which a single channel of a multichannel signal is conventionally t...

Signal frequency estimation is a problem of significance in many applications including audio signal processing. Compressed domain audio frequency estimators that directly use the modified discrete cosine transform (MDCT) coefficients are suitable for low-complexity audio applications. A new frequency estimation approach, which can obtain the estimated value from a simple combination of three M...

A new algorithm for audio watermarking is proposed. The basic idea of the algorithm is to change the length of the intervals between salient points of the audio signal to embed data. We propose several novel ideas for practical implementations that can be used by other watermarking schemes as well. The algorithm is robust to common audio processing operations e.g. mp3 lossy compression, low pas...

This paper describes the design and development of new graphical software for spectral audio processing. There are three phases to accomplish the audio processing. First, spectrograms are generated from an input audio signal using Short-Time Fourier Transform (STFT) analysis, and the sonogram image is continually shifting from right to left. Secondly, the sonogram is transformed by placing prep...