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Publications associées (8)

The Sixth Visual Object Tracking VOT2018 Challenge Results

Tianzong Zhang, Wei Wu, Qiang Wang, Zhiye Wang, Li Wang, Bo Li, Yunpeng Li, Zeyu Zhang, Erhan Gündogdu, Bo Chen, Jiri Matas, Namhoon Lee, Tianyang Xu, Jing Li, Ning Wang, Hongwei Li, Feng Li, Jue Wang, Peixia Li, Ran Tao, Yi Wu, Yunhua Zhang, Yuxuan Sun, Qing Guo, Xiaofan Zhang, Wenjun Zeng, Luca Bertinetto, Siwen Wang, Chong Sun, Litu Rout

The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

In this letter, a new feature extraction technique based on modulation spectrum derived from syllable-length segments of sub-band temporal envelopes is proposed. These sub-band envelopes are derived from auto-regressive modelling of Hilbert envelopes of th ...

2008

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

In this paper, a new feature extraction technique based on modulation spectrum derived from syllable-length segments of sub-band temporal envelopes is proposed. These sub-band envelopes are derived from auto-regressive modelling of Hilbert envelopes of the ...

Idiap2008

Truncation Confusion Patterns in Onset Consonants

Confusion matrices and truncation experiments have long been a part of psychoacoustic experimentation. However confusion matrices are seldom used to analyze truncation experiments. A truncation experiment was conducted and the confusion patterns were analy ...

IDIAP2007

Perception Studies on the Attributes of Synthetic Clear Speech for the Hard of Hearing

Chandra Sekhar Seelamantula

We make a case for ‘synthetic clear speech’ in the context of the persons with hearing impairment. We study the acoustic attributes of ‘clear speech’ that enable us to understand their importance in speech perception. Our perception experiments are motivat ...

IEEE2007

On Variable-Scale Piecewise Stationary Spectral Analysis of Speech Signals for ASR

Hervé Bourlard, Vivek Tyagi

It is often acknowledged that speech signals contain short-term and long-term temporal properties that are difficult to capture and model by using the usual fixed scale (typically 20ms) short time spectral analysis used in hidden Markov models (HMMs), base ...

Elsevier2006

On Variable-Scale Piecewise Stationary Spectral Analysis of Speech Signals for ASR

Hervé Bourlard, Vivek Tyagi

IDIAP2005

HMM inference towards flexible speech recognition

One of the difficulties in Automatic Speech Recognizer (ASR) is the pronunciation variability. Each word (modeled by a baseline phonetic transcription in the ASR dictionary) can be pronounced in many different ways depending on many complex qualitative and ...

IDIAP2003

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