Phoneme problems

Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

Phoneme-to-phoneme alignment and conversion

This paper deals with new methods for phoneme-to-phoneme (P2P) alignment and conversion. Alignment is carried out by dynamic programming for Levenshtein distance calculation. Cost functions based on phoneme co-occurrence statistics and on distinctive feature vector distances accounting for connected speech processes are comparatively evaluated. Given the aligned data, decision trees for P2P con...

Phoneme Stress Count Phoneme Stress Count

Effects of phoneme repertoire on phoneme decision.

In three experiments, listeners detected vowel or consonant targets in lists of CV syllables constructed from five vowels and five consonants. Responses were faster in a predictable context (e.g., listening for a vowel target in a list of syllables all beginning with the same consonant) than in an unpredictable context (e.g., listening for a vowel target in a list of syllables beginning with di...

A Qualitative Evaluation of Phoneme-to-Phoneme Technology

Automatic speech recognition systems apply grapheme-to phoneme transcription (G2P) to model pronunciation of items in the lexicon. General purpose G2P transcriptions are not always accurate, e.g., in a multilingual environment. To improve the transcription quality, G2P transcriptions can be postprocessed using a phoneme-to-phoneme (P2P) converter. This paper discusses the applicability of P2P t...