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» Automatic speech recognition system channel modeling
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ICASSP
2010
IEEE
15 years 7 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
170
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Dynamics of tongue gestures extracted automatically from ultrasound
We describe a system for automatically extracting dynamics of tongue gestures from ultrasound images of the tongue using translational deep belief networks (tDBNs). In tDBNs, a jo...
Jeff Berry, Ian Fasel
TCOM
2008
128views more  TCOM 2008»
15 years 6 months ago
Cross-Layer Rate and Power Adaptation Strategies for IR-HARQ Systems over Fading Channels with Memory: A SMDP-Based Approach
Abstract--Incremental-redundancy hybrid automatic repeatrequest (IR-HARQ) schemes are proposed in several wireless standards for increased throughput-efficiency and greater reliabi...
Ashok K. Karmokar, Dejan V. Djonin, Vijay K. Bharg...
TSD
2005
Springer
16 years 7 days ago
Robust Rule-Based Method for Automatic Break Assignment in Russian Texts
In this paper a new rule-based approach to break assignment for the Russian language is discussed. It is a flexible and robust method of segmentation of texts in Russian in prosod...
Ilya Oparin
143
Voted
INTERSPEECH
2010
15 years 1 months ago
Predicting human perception and ASR classification of word-final [t] by its acoustic sub-segmental properties
This paper presents a study on the acoustic sub-segmental properties of word-final /t/ in conversational standard Dutch and how these properties contribute to whether humans and a...
Barbara Schuppler, Mirjam Ernestus, Wim A. van Dom...