Speaker linking in large data sets

This paper investigates the task of linking speakers across multiple recordings, which can be accomplished by speaker clustering. Various aspects are considered, such as computational complexity, on/offline approaches, and evaluation measures but also speaker recognition approaches. It has not been the aim of this study to optimize clustering...

Predicting automatic speech recognition performance over communication channels from instrumental speech quality and intelligibility scores

The performance of automatic speech recognition based on coded-decoded speech heavily depends on the quality of the transmitted signals, determined by channel impairments. This paper examines relationships between speech recognition performance and measurements of speech quality and intelligibility over transmission channels. Different to...

Earwitness line-ups: Effects of speech duration, retention interval and acoustic environment on identification accuracy

An experiment was conducted to investigate the effects of retention interval, exposure duration and acoustic environment on speaker identification accuracy in voice line-ups. In addition, the relation between confidence assessments by participants and test assistant and identification accuracy was explored. A total of 361 participants heard a...

Optimal selection of speech data for automatic speech recognition systems

This paper presents a method designed to select a limited set of maximally information rich speech data from a database for optimal training and diagnostic testing of Automatic Speech Recognition (ASR) systems. The method uses Principal Component Analysis (PCA) to map the variance of the speech material in a database into a low-dimensional space...