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» The limits of speech recognition
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ICPR
2004
IEEE
16 years 6 months ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
ICPR
2002
IEEE
16 years 6 months ago
Object Recognition Supported by User Interaction for Service Robots
This paper describes an interactive vision system for a robot that finds an object specified by a user and brings it to the user. The system first registers object models automati...
Yasushi Makihara, Masao Takizawa, Yoshiaki Shirai,...
141
Voted
INTERSPEECH
2010
15 years 13 days ago
What else is new than the hamming window? robust MFCCs for speaker recognition via multitapering
Usually the mel-frequency cepstral coefficients (MFCCs) are derived via Hamming windowed DFT spectrum. In this paper, we advocate to use a so-called multitaper method instead. Mul...
Tomi Kinnunen, Rahim Saeidi, Johan Sandberg, Maria...
ICASSP
2011
IEEE
14 years 9 months ago
Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
Felix Weninger, Björn Schuller
134
Voted
ICASSP
2011
IEEE
14 years 9 months ago
A cochlear neuron based robust feature for speaker recognition
In this paper, a robust feature for text-independent speaker recognition is proposed, which simulate the response mode of cochlear neurons in processing acoustic signal. The featu...
Datao You, Tao Jiang, Jiqing Han, Tieran Zheng