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» Towards Lower Error Rates in Phoneme Recognition
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ICASSP
2008
IEEE
13 years 11 months ago
Optimizing the acoustic modeling from an unbalanced bi-lingual corpus
Phoneme set clustering of accurate modeling is important in the task of multilingual speech recognition, especially when each of the available language training corpora is mismatc...
Dau-cheng Lyu, Ren-yuan Lyu
ICASSP
2010
IEEE
13 years 5 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ICASSP
2010
IEEE
13 years 5 months ago
Recognition of phonemes and words in singing
This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and...
Annamaria Mesaros, Tuomas Virtanen
EJASMP
2010
136views more  EJASMP 2010»
13 years 3 days ago
Ageing Voices: The Effect of Changes in Voice Parameters on ASR Performance
With ageing, human voices undergo several changes which are typically characterized by increased hoarseness and changes in articulation patterns. In this study, we have examined t...
Ravichander Vipperla, Steve Renals, Joe Frankel
CORR
2007
Springer
119views Education» more  CORR 2007»
13 years 5 months ago
Pseudo-random Puncturing: A Technique to Lower the Error Floor of Turbo Codes
— It has been observed that particular rate-1/2 partially systematic parallel concatenated convolutional codes (PCCCs) can achieve a lower error floor than that of their rate-1/...
Ioannis Chatzigeorgiou, Miguel R. D. Rodrigues, Ia...