This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that suf...
The last decade has witnessed substantial progress in speech recognition technology, with todays state-of-the-art systems being able to transcribe unrestricted broadcast news audi...
Abstract. The main area of work in computer music related to information systems is known as music information retrieval (MIR). Databases containing musical information can be clas...
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
This paper addresses recent progress in speaker-independent, large vocabulary, continuous speech recognition, which has opened up a wide range of near and mid-term applications. O...
Jean-Luc Gauvain, Lori Lamel, Gilles Adda, Martine...
A method is presented which analyses the audio speech data of voice calls and calculates an "acoustic fingerprint". The audio data of the voice calls are compared with e...
Abstract. Music is not only a set of sounds, it evokes emotions, subjectively perceived by listeners. The growing amount of audio data available on CDs and in the Internet wakes up...
Alicja Wieczorkowska, Piotr Synak, Rory A. Lewis, ...
This paper is concerned with modelling background audio online to detect foreground sounds in complex audio environments for surveillance and smart home applications. We examine a...
Simon Moncrieff, Svetha Venkatesh, Geoff A. W. Wes...
Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story se...
— Wireless sensor networks (WSNs) can be used to record and store audio data at remote and inaccessible places. However, audio data adds an additional concern to the design of th...