46 There is a significant body of research examining the intelligibility of sinusoidal replicas of 47 natural speech. Discussion has followed about what the sinewave speech phenomenon might 48 imply about the mechanisms underlying phonetic recognition. However, most of this work has 49 been conducted using sentence material, making it unclear what the contributions are of 50 listeners’ use of l...

In this paper, we tried to develop a vowel training assistant method using vowel formant statistics. Formant statistics were obtained from PBW set consists of 452 words from 8 persons. Then, we calculated distance from input formants to each center of vowel formant space. Based on the distance, directions to correct the speaker's manner of articulations, i.e. position of jaw and tongue.

The rapid momentum of the technology progress in the recent years has led to a tremendous rise in the use of biometric authentication systems. The objective of this research is to investigate the problem of identifying a speaker from its voice regardless of the content (i.e. text-independent), and to design efficient methods of combining face and voice in producing a robust authentication syste...

Distributional vowel training for adults has been reported as “effective” for Spanish and Bulgarian learners of Dutch vowels, in studies using a behavioural task. A recent study did not yield a similar clear learning effect for Dutch learners of the English vowel contrast /æ/~/ε/, as measured with event-related potentials (ERPs). The present study aimed to examine the possibility that the latte...

School of Computer Science Camegie Mellon University Pittsburgh, PA 15213, U.S.A. This paper describes a new structure of Neural Networks ("s) for speaker-independent and context-independent phoneme recognition. This structure is based on the integration of Time-Delay Neural Networks (TDNN) which have several TDNNs separated according to the duration of phonemes. As a result, the proposed struc...

Speaker independent vowel recognition is a di cult pattern recognition problem. Recently therehas been much research using Multi-Layer Perceptrons (MLP) and Decision Trees for this task. Thispaper presents a new approach to this problem. A new neural architecture and learning algorithmcalled Neural Tree Networks (NTN) are developed. This network uses a tree structure with a neural<l...

Models of second language acquisition predict that adults are unlikely to learn to produce a non-native vowel very quickly due to their reduced sensitivity to acoustic features not phonological in their native language. Earlier studies show that attention focusing training and articulatory instructions can facilitate learning of non-native speech sounds. We used an instructed listen-and-repeat ...