Distribution of short-term rms levels in conversational speech.

Ethnomethodology and Conversational Analysis

In a speech community, people utilize their communicative competence which they have acquired from their society as part of their distinctive sociolinguistic identity. They negotiate and share meanings, because they have commonsense knowledge about the world, and have universal practical reasoning. Their commonsense knowledge is embodied in their language. Thus, not only does social life depend...

Short-term and Long-term Impact of Video-driven Metapragmatic Awareness Raising on Speech Act Production: A Case of Iranian Interme-diate EFL Learners

Making Conversational Vowels More Clear

Previously, it has been shown that using clear speech short-term spectra improves the intelligibility of conversational speech. In this paper, a speech transformation method is used to map the spectral features of conversational speech to resemble clear speech. A joint-density Gaussian mixture model is used as the mapping function. The transformation is studied in both the formant frequency and...

A New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)

Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...

Improving English Conversational Telephone Speech Recognition

The goal of this work is to build a state-of-the-art English conversational telephone speech recognition system. We investigated several techniques to improve acoustic modeling, namely speaker-dependent bottleneck features, deep Bidirectional Long Short-Term Memory (BLSTM) recurrent neural networks, data augmentation and score fusion of DNN and BLSTM models. Training set consisted of the 300 ho...