This paper presents a bi-modal coding paradigm to compress narrowband audio signals at 8 kbit/s. In the general mode, the Enhanced Narrowband Audio Coder (ENPAC) exploits the characteristics of the human hearing system to adaptively code the perceptually important spectral components of the input audio. The other mode is employed to handle audio inputs with a strong harmonic structure. In that ...

In this paper, a HMM-based visual speech system driven by audio speech input is designed to render a face model while synchronous audio is played. Compared to many methods adopted by other researchers, there is much difference between our approach and theirs. We first train the models for every final and initial in mandarin. In this process, a large quantity of audio training data under differe...

Automatic identification of audio titles on radio broadcasts is a first step towards automatic annotation of radio programmes. Systems designed for the purpose of identification have to deal with a variety of postprocessing potentially imposed on audio material at the radio stations. One of the more difficult techniques to be handled is time-scaling, i.e., the variation of playback speed. In th...

The decoding of the voice audio bit stream is an issue in terms of real-time transmission of high quality voice audio over the Internet. A stand-alone chip to perform decoding is a better solution over software approach. The MPEG audio compression provides high compression with minimal loss. This study describes a VHDL model of MPEG audio layer 1 decoder that perform concurrent processing while...

With a growing number of in-vehicle systems integrated in contemporary cars, the risk of driver distraction and lack of attention on the primary task of driving is increasing. One major research area concerns eyesoff-the-road and mind-off-the-road that are manifested in different ways for input and output techniques. In this paper, we investigate in-vehicle systems input and output techniques t...

Although the AES/EBU digital audio standard has already been adapted to optical, twisted pair [1] and coaxial cables [2]. This paper explores cabling options for new and emerging applications of digital audio communications. Enabling features include remotely powering devices over the audio cable and bi-directional communications. Remote power benefits both ends of the audio reproduction chain:...

Our final project will be designing and implementing an audio system in which the audio signal is input, wirelessly transmitted, audio filtered and equalized. The audio is inputted through a microphone and is digitized using an Analog-To-Digital converter with the LM4550 AC’97 Codec. The audio signal is then compressed using the Discrete Cosine Transform (DCT) and is wirelessly transmitted and ...

Our aim is to build a platform allowing a user to chat with virtual agent. The agent displays audio-visual backchannels as a response to the user’s verbal and nonverbal behaviours. Our system takes as inputs the audio-visual signals of the user and outputs synchronously the audio-visual behaviours of the agent. In this paper, we describe the SEMAINE architecture and the data flow that goes from...

There are two positions in the classic debate regarding musical emotion: the cognitivist position and the emotivist position. According to the cognitivist position, music expresses emotion but does not induce it in listeners. So, listeners may recognize emotion in music without feeling it, unlike real, everyday emotion. According to the emotivist position, listeners not only recognize emotion b...

A multimodal voice conversion (VC) method for noisy environments is proposed. In our previous non-negative matrix factorization (NMF)-based VC method, source and target exemplars are extracted from parallel training data, in which the same texts are uttered by the source and target speakers. The input source signal is then decomposed into source exemplars, noise exemplars, and their weights. Th...