In this paper, we define an F0 quantization scheme for a very low bit rate speech coder based on HMM (Hidden Markov Model). In the coding system, the encoder carries out phoneme recognition, and transmits phoneme indices, state durations and F0 information to the decoder. In the decoder, phoneme HMMs are concatenated according to the phoneme indices, and a sequence of mel-cepstral coefficient v...

This paper presents steps in accessing Thai phoneme distribution from large-scale written Thai corpora. The data were from 12 text genres from InterBEST [1], considered the biggest Thai corpora. Each word was transliterated using the grapheme-to-phoneme software [2]. Then, frequency of words, frequency of 81 Thai phonemes in each genre, and the 95% CIs of average occurrences of each phoneme wer...

In this paper, two techniques are proposed to enhance the nonnative (Japanese English) speech recognition performance. The first technique effectively integrates orthographic representation of a phoneme as an additional context in state clustering in training tied-state triphones. Non-native speakers often learned the target language not through their ears but through their eyes and it is easil...

We show that a good approach for the grapheme-to-phoneme conversion of Dutch proper names (e.g. person names, toponyms, etc), is to use a cascade of a general purpose grapheme-to-phoneme (G2P) converter and a special purpose phoneme-to-phoneme (P2P) converter. The G2P produces an initial transcription that is then transformed by the P2P. The P2P is automatically trained on reference transcripti...

Long audio alignment systems for Spanish and English are presented, within an automatic subtitling application. Language-specific phone decoders automatically recognize audio contents at phoneme level. At the same time, language-dependent grapheme-to-phoneme modules perform a transcription of the script for the audio. A dynamic programming algorithm (Hirschberg's algorithm) finds matches betwee...

A new adaptation strategy for distant noisy speech is created by phoneme class based approaches for context-independent acoustic models. Unlike the previous approaches such as MLLR-MAP adaptation which adapts acoustic model to the features, our phoneme-class based adaptation (PCBA) adapts the distant data features to our acoustic model which has trained on close microphone TIMIT sentences. The ...

Construction of a recognizer in a new target language usually involves collection of a comprehensive database in that language as well as manual annotation and model training. For rapid development of new language recognizer, we propose (1) substituting target language phoneme models by source language phoneme models trained previously; and (2) adapting target language phoneme models from sourc...

In this paper we examined the use of context to “restore” a degraded auditory signal using the standard Auditory-Only (AO) phoneme restoration paradigm and an Auditory-Visual (AV) version. The experiment was a modified replication of Trout and Poser [1] who used the Samuel [2] discrimination paradigm in which white noise was either superimposed (added) on a phoneme in a word or replaced it enti...

In the speech synthesis systems, the phoneme identity feature indicated as the pronunciation unit is influenced by external contexts like the neighboring words and phonemes. This paper proposes to encode such relatedness and parameterize the pronunciation of the phoneme identity feature as a continuous real-valued vector. The vector, composed by a phoneme embedded vector (PEV) and a word embedd...

In this paper we present a novel scheme for phoneme recognition in continuous speech using inhomogeneous hidden Markov models (IHMMs). IHMMs can capture the temporal structure of phonemes and inter-phonemic temporal relationships effectively, with their duration dependent state transition probabilities. A two stage IHMM is proposed to capture the variabilities in speech effectively for phoneme ...