Developing audio processing tools for extracting social-audio features are just as important
as conscious content for determining human behavior. Psychologists speculate these …

The paper describes our work on the development of a system for retrieval of relevant stories
from broadcast news. The system utilizes a combination of audio processing and text …

We present a novel approach to speech processing based on the principle of pattern
discovery. Our work represents a departure from traditional models of speech recognition …

Since the introduction of digital audio more than 30 years ago, computers and signal
processors have been capable of storing, modifying and transmitting sound signals. Before …

This paper formulates a novel approach to spoken document information retrieval for
instinctive speech corpora. The conventional method for this problem is to make use of an …

This paper presents a two-stage multi-feature integration approach for unsupervised
speaker change detection in real-time news broadcasting. We integrate MFCC and LSP …

The large amounts of digital media becoming available require that new approaches are
developed for retrieving, navigating and recommending the data to users in a way that refl …

Segmenting a broadcast signal that consists of numerous speakers has always posed a
challenge to speech recognition systems. In this thesis we examine current knowledge …

In this paper we address an aspect of speaker recognition task, viz. unsupervised speaker
turn detection. A metric based approach with two-pass criteria is proposed for this task. A …

Speaker discrimination is the process of recognizing speakers from their voices. A general
requirement for conventional speaker discrimination systems such as speaker identification …