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Phoneme Recognition Using Temporal Patterns

2003
We investigate and compare several techniques for automatic recognition of unconstrained context-independent phoneme strings from TIMIT and NTIMIT databases. Among the compared techniques, the technique based on TempoRAl Patterns (TRAP) achieves the best results in the clean speech, it achieves about 10% relative improovements against baseline system ...
Pavel Matejka   +3 more
openaire   +2 more sources

Phoneme performance in speaker recognition

2nd International Conference on Spoken Language Processing (ICSLP 1992), 1992
Julian P. Eatock, John S. D. Mason
openaire   +1 more source

Reinforcement learning for phoneme recognition

6th European Conference on Speech Communication and Technology, 1999
Akira Ichikawa   +2 more
openaire   +1 more source

Rule-Based Embedded HMMs Phoneme Classification to Improve Qur’anic Recitation Recognition

Electronics (Switzerland), 2023
Sherzod Turaev   +2 more
exaly  

Confusion analysis in phoneme based speech recognition in Hindi

Journal of Ambient Intelligence and Humanized Computing, 2020
Anurag Jain, Amita Dev, Shobha Bhatt
exaly  

Evaluation of phoneme recognition skills in pediatric auditory brainstem implant users

European Archives of Oto-Rhino-Laryngology, 2021
Esra Yücel, Banu Bas
exaly  

Phoneme and tonal accent recognition for Thai speech

Expert Systems With Applications, 2011
Nipon Theera-Umpon   +1 more
exaly  

Automatic speech recognition without phonemes

3rd European Conference on Speech Communication and Technology (Eurospeech 1993), 1993
Ernst Günter Schukat-Talamazzini   +4 more
openaire   +2 more sources

Discriminant spectrotemporal features for phoneme recognition

Interspeech 2009, 2009
Nima Mesgarani   +4 more
openaire   +2 more sources

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