Results 11 to 20 of about 154,869 (269)

Attention-Based End-To-End Named Entity Recognition From Speech

, 2021
| openaire: EC/H2020/780069/EU//MeMADNamed entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where ...
Mikko Kurimo, Dejan Porjazovski, Leinonen, Juho, Kurimo, Mikko, Juho Leinonen, Porjazovski, Dejan   +5 more
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SVMs for Automatic Speech Recognition: a Survey [PDF]

, 2007
Hidden Markov Models (HMMs) are, undoubtedly, the most employed core technique for Automatic Speech Recognition (ASR). Nevertheless, we are still far from achieving high-performance ASR systems.
Peláez-Moreno, Carmen, Gallardo Antolín, Ascensión, Martín Iglesias, D., Díaz de María, Fernando, Díaz-de-María, Fernando, Peláez Moreno, Carmen, Gallardo-Antolín, Ascensión, Solera Ureña, R., Padrell Sendra, J.   +8 more
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Avoiding distortions due to speech coding and transmission errors [PDF]

, 1999
We have extended our previous research on a new approach to automatic speech recognition (ASR) in the GSM environment. Instead of recognizing from the decoded speech signal, our system works from the digital speech representation used by the GSM encoder.
Valverde Albacete, Francisco José, Gallardo Antolín, Ascensión, F. Valverde-Albacete, F. Diaz-de-Maria, Díaz de María, Fernando, Díaz-de-María, Fernando, Valverde-Albacete, Francisco J., A. Gallardo-Antolin, Gallardo-Antolín, Ascensión   +8 more
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A Formant Modification Method for Improved ASR of Children’s Speech

, 2022
Differences in acoustic characteristics between children’s and adults’ speech degrade performance of automatic speech recognition systems when systems trained using adults’ speech are used to recognize children’s speech.
Alku, Paavo, Kurimo, Mikko, Kadiri, Sudarsana, Kathania, Hemant   +3 more
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Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema [PDF]

, 2012
06.08.13 KB. Ok to add accepted version to spiral, embargo period expired. SpringerIn this paper, a psychologically-inspired binary cascade classification schema is proposed for speech emotion recognition.
Kotti, Margarita, Paternò, Fabio
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Recognizing Voice Over IP: A Robust Front-End for Speech Recognition on the World Wide Web [PDF]

, 2001
The Internet Protocol (IP) environment poses two relevant sources of distortion to the speech recognition problem: lossy speech coding and packet loss. In this paper, we propose a new front-end for speech recognition over IP networks.
Peláez-Moreno, Carmen, Gallardo Antolín, Ascensión, Díaz de María, Fernando, Díaz-de-María, Fernando, Peláez Moreno, Carmen, Gallardo-Antolín, Ascensión   +5 more
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Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition [PDF]

, 2006
In this paper we address the problem of automatic speech recognition when wireless speech communication systems are involved. In this context, three main sources of distortion should be considered: acoustic environment, speech coding and transmission ...
Peláez-Moreno, Carmen, Vicente Peña, Jesús de, Gallardo Antolín, Ascensión, J. Vicente-Peña, F. Díaz-de-María, Vicente-Peña, Jesús, Díaz de María, Fernando, Díaz-de-María, Fernando, Peláez Moreno, Carmen, Gallardo-Antolín, Ascensión, C. Peláez-Moreno, A. Gallardo-Antolín   +11 more
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Character-based units for Unlimited Vocabulary Continuous Speech Recognition

, 2017
We study character-based language models in the state-of-the-art speech recognition framework. This approach has advantages over both word-based systems and so-called end-to-end ASR systems that do not have separate acoustic and language models.
Virpioja, Sami, Mikko Kurimo, Siva Reddy Gangireddy, Kurimo, Mikko, Gangireddy, Siva, Seppo Enarvi, Smit, Peter, Enarvi, Seppo, Peter Smit, Sami Virpioja   +9 more
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The Effect of Silence Feature in Dimensional Speech Emotion Recognition [PDF]

, 2020
Silence is a part of human-to-human communication, which can be a clue for human emotion perception. For automatic emotion recognition by a computer, it is not clear whether silence is useful to determine human emotion within a speech.
Atmaja, Bagus Tris, Bagus Tris Atmaja, Masato Akagi, Akagi, Masato   +3 more
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Phoneme and sentence-level ensembles for speech recognition

, 2011
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the phoneme level and one at the utterance level, with a phoneme-level bagging ...
Dimitrakakis, Christos, Bengio, Samy, Samy Bengio, Dimitrakakis, Christos,, Bengio, S., Christos Dimitrakakis   +5 more
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