Histogram equalization of speech representation for robust speech recognition

A De La Torre, AM Peinado, JC Segura… - … on Speech and …, 2005 - ieeexplore.ieee.org
This paper describes a method of compensating for nonlinear distortions in speech
representation caused by noise. The method described here is based on the histogram …

[PDF][PDF] VILE: Estudio acústico de la variación inter e intralocutor en español

A Ríos, E Battaner, J Gil, V Marrero, C Carbó… - … del lenguaje natural, 2005 - redalyc.org
VILE (Estudio acústico de la variación inter e intralocutor en español) es un proyecto de
investigación básica, financiado por el Ministerio de Ciencia y Tecnología (BFF2001-2551 …

A Spanish dataset for reproducible benchmarked offline handwriting recognition

S Espana-Boquera, MJ Castro-Bleda - Language Resources and …, 2022 - Springer
In this paper, a public dataset for Offline Handwriting Recognition, along with an appropriate
evaluation method to provide benchmark indicators at sentence level, is presented. This …

Computer assisted transcription of speech

L Rodríguez, F Casacuberta, E Vidal - … IbPRIA 2007, Girona, Spain, June 6 …, 2007 - Springer
Speech recognition systems have proved their usefulness in very different tasks.
Nevertheless, the present state-of-the-art of the speech technologies does not make it …

Learning finite-state models for machine translation

F Casacuberta, E Vidal - Machine Learning, 2007 - Springer
In formal language theory, finite-state transducers are well-know models for simple “input-
output” mappings between two languages. Even if more powerful, recursive models can be …

Acoustic and syntactical modeling in the ATROS system

D Llorens, F Casacuberta, E Segarra… - … , Speech, and Signal …, 1999 - ieeexplore.ieee.org
Current speech technology allows us to build efficient speech recognition systems.
However, model learning of knowledge sources in a speech recognition system is not a …

Language simplification through error-correcting and grammatical inference techniques

JC Amengual, A Sanchis, E Vidal, JM Benedí - Machine Learning, 2001 - Springer
In many language processing tasks, most of the sentences generally convey rather simple
meanings. Moreover, these tasks have a limited semantic domain that can be properly …

Long audio alignment for automatic subtitling using different phone-relatedness measures

A Álvarez, H Arzelus, P Ruiz - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
In this work, long audio alignment systems for Spanish and English are presented in an
automatic subtitling scenario. Pre-recorded contents are automatically recognized at …

Discriminative feature weighting for HMM-based continuous speech recognizers

A de la Torre, AM Peinado, AJ Rubio, JC Segura… - Speech …, 2002 - Elsevier
The Discriminative Feature Extraction (DFE) method provides an appropriate formalism for
the design of the front-end feature extraction module in pattern classification systems. In the …

Non-speech sound feature extraction based on model identification for robot navigation

Y Bolea, A Grau, A Sanfeliu - Progress in Pattern Recognition, Speech and …, 2003 - Springer
Non-speech audio gives important information from the environment that can be used in
robot navigation altogether with other sensor information. In this article we propose a new …