A dynamic programming-based optimization strategy for a temporal decomposition (TD) model of speech and its application to low-rate speech coding in storage and broadcasting is presented. In previous work with the spectral stability-based event localizing (SBEL) TD algorithm, the event localization was performed based on a spectral stability criterion. Although this approach gave reasonably goo...

The persuasive power of live interaction is hard to match, yet technologies are increasingly taking on social roles to promote behavioral change. We believe that speech-based interfaces offer a compelling mode of interaction for engaging users and are motivated to understand how to best present persuasive information using speech interaction. We present a study comparing the persuasive power of...

Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain) are computationally expensive. We previously showed that, on one dataset, a rough set feature selection algorithm can reduce computational complexity without sacrificing task performance. Here we test the generality ...

We present a prototype interlingual communication system that is being used to collect a corpus of task based dialogues between speakers of different languages. This corpus will be used to assess human reactions to an automated speech-to-speech translation system. In this demonstration we show how the HCRC Map Task can be adapted to support data collection in this interlingual environment, and ...

We are interested in spoken language understanding within the domain of automated telecommunication services. Our current methodology involves training statistical language models from large annotated corpora for recognition and understanding. Since the transcribing of large speech corpora is a resource consuming task, we are motivated to exploit speech without transcriptions. In particular, we...

Recent research on speech segregation and music fingerprinting has led to improvements in speech segregation and music identification algorithms. Speech and music segregation generally involves the identification of music followed by speech segregation. However, music segregation becomes a challenging task in the presence of noise. This paper proposes a novel method of speech segregation for un...

Objectives: Voice is influenced by personality. However, it is still questionable which acoustic features are influenced by personality traits. This study aimed to investigate the relationship between acoustic characteristics and personality dimensions. Methods: Thirty-three participants with dysphonia and 33 participants without dysphonia were recruited to take part in this cross-sectional st...

Speech/non-speech sound classification is an important problem in audio diarization, audio document retrieval and advanced human interfaces. The focus of this study is on the development of spectral and temporal acoustic features for speech/non-speech sound classification based on production differences in speech versus whistle. Seven timeand frequency-domain based features are investigated. Pe...