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All Politics is Local: The Renminbi's Prospects as a Future Global Currency [PDF]

open access: yes, 2000
. In this article we describe methods for improving the RWTH German speech recognizer used within the VERBMOBIL project. In particular, we present acceleration methods for the search based on both within-word and across-word phoneme models. We also study
A Sixtus   +16 more
core   +3 more sources

Recognition of English speech – using a deep learning algorithm

open access: yesJournal of Intelligent Systems, 2023
The accurate recognition of speech is beneficial to the fields of machine translation and intelligent human–computer interaction. After briefly introducing speech recognition algorithms, this study proposed to recognize speech with a recurrent neural ...
Wang Shuyan
doaj   +1 more source

Speech separation for speech recognition [PDF]

open access: yesLe Journal de Physique IV, 1994
Divers modeles de separation de voix parasites sont implementes a l'entree d'un systeme de reconnaissance de la parole. L'objectif est d'estimer, au travers des taux de reconnaissance, l'efficacite des principes de traitement. Un premier modele utilise l'annulation harmonique des voix parasites dans le domaine temporel.
A. Lea   +3 more
openaire   +2 more sources

On parameter filtering in continuous subword-unit-based speech recognition [PDF]

open access: yes, 1996
Simple IIR or FIR filters have been widely used in isolated or connected word recognition tasks to filter the time sequence of speech spectral parameters, since, despite their simplicity, they significantly improve recognition performance. Those filters,
Nadeu Camprubí, Climent, Paches, Pau
core   +1 more source

Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno

open access: yesJurnal Teknologi dan Sistem Komputer, 2018
This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse'
Dania Eridani   +2 more
doaj   +1 more source

A user evaluation of speech/phrase recognition software in critically ill patients: a DECIDE-AI feasibility study

open access: yesCritical Care, 2023
Objectives Evaluating effectiveness of speech/phrase recognition software in critically ill patients with speech impairments. Design Prospective study. Setting Tertiary hospital critical care unit in the northwest of England.
M. Musalia   +13 more
doaj   +1 more source

Evolutionary Speech Recognition [PDF]

open access: yes, 2007
Automatic speech recognition systems are becoming ever more common and are increasingly deployed in more variable acoustic conditions, by very different speakers. So these systems, generally conceived in a laboratory, must be robust in order to provide optimal performance in real situations.
openaire   +4 more sources

Speech Recognition with Augmented Synthesized Speech [PDF]

open access: yes2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019
Recent success of the Tacotron speech synthesis architecture and its variants in producing natural sounding multi-speaker synthesized speech has raised the exciting possibility of replacing expensive, manually transcribed, domain-specific, human speech that is used to train speech recognizers.
Zelin Wu   +6 more
openaire   +3 more sources

A hidden Markov optimization model for processing and recognition of English speech feature signals

open access: yesJournal of Intelligent Systems, 2022
Speech recognition plays an important role in human–computer interaction. The higher the accuracy and efficiency of speech recognition are, the larger the improvement of human–computer interaction performance.
Chen Yinchun
doaj   +1 more source

Advancing Speech Recognition With No Speech Or With Noisy Speech [PDF]

open access: yes2019 27th European Signal Processing Conference (EUSIPCO), 2019
In this paper we demonstrate end-to-end continuous speech recognition (CSR) using electroencephalography (EEG) signals with no speech signal as input. An attention model based automatic speech recognition (ASR) and connectionist temporal classification (CTC) based ASR systems were implemented for performing recognition.
Mason Carnahan   +3 more
openaire   +2 more sources

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