Changes in magnitude and variability of duration, fundamental frequency, formant
frequencies, and spectral envelope of children's speech are investigated as a function of …

We present a neural text-to-speech system for fine-grained prosody transfer from one
speaker to another. Conventional approaches for end-to-end prosody transfer typically use …

We describe a corpus of professionally read radio news data, including speech and
accompanying annotations, suitable for speech and language research. The corpus consists …

Donaldson 57 ABSTRACT A method and system are provided for time aligning speech.
Speech data is input representing speech signals from a speaker. An orthographic …

Collecting labelled datasets for speech recognition systems for low-resource languages on
a diverse set of domains and speakers is expensive. In this work, we demonstrate an …

An accurate database documentation at phonetic level is very important for speech
research: however, manual segmentation and labeling is a time consuming and error prone …

Long speech-text alignment can facilitate large-scale study of rich spoken language
resources that have recently become widely accessible, eg, collections of audio books, or …

This thesis is concerned with the synthesis of speech using trainable systems. The research
it describes was conducted with two principle aims: to build a hidden Markov model (HMM) …

Determining the location of phonemes is important to a number of speech applications,
including training of automatic speech recognition systems, building text-to-speech systems …

This paper investigates the relative sensitivity of a Gaussian mixture model (GMM) based
voice verification algorithm to computer voice-altered imposters. First, a new trainable …