Single-and multi-microphone speech dereverberation using spectral enhancement
EAP Habets - 2007 - research.tue.nl
In speech communication systems, such as voice-controlled systems, hands-free mobile
telephones, and hearing aids, the received microphone signals are degraded by room …
telephones, and hearing aids, the received microphone signals are degraded by room …
Template-based continuous speech recognition
M De Wachter, M Matton, K Demuynck… - … on Audio, Speech …, 2007 - ieeexplore.ieee.org
Despite their known weaknesses, hidden Markov models (HMMs) have been the dominant
technique for acoustic modeling in speech recognition for over two decades. Still, the …
technique for acoustic modeling in speech recognition for over two decades. Still, the …
Korean large vocabulary continuous speech recognition with morpheme-based recognition units
OW Kwon, J Park - Speech Communication, 2003 - Elsevier
In Korean writing, a space is placed between two adjacent word-phrases, each of which
generally corresponds to two or three words in English in a semantic sense. If the word …
generally corresponds to two or three words in English in a semantic sense. If the word …
[图书][B] Автоматическая обработка разговорной русской речи
В монографии очерчен круг проблем, связанных с особенностями автоматического
анализа разговорной русской речи в интерактивных диалоговых системах. Описаны …
анализа разговорной русской речи в интерактивных диалоговых системах. Описаны …
Coping with disfluencies in spontaneous speech recognition: Acoustic detection and linguistic context manipulation
F Stouten, J Duchateau, JP Martens, P Wambacq - Speech communication, 2006 - Elsevier
Nowadays read speech recognition already works pretty well, but the recognition of
spontaneous speech is much more problematic. There are plenty of reasons for this, and we …
spontaneous speech is much more problematic. There are plenty of reasons for this, and we …
Annotation of heterogeneous multimedia content using automatic speech recognition
This paper reports on the setup and evaluation of robust speech recognition system parts,
geared towards transcript generation for heterogeneous, real-life media collections. The …
geared towards transcript generation for heterogeneous, real-life media collections. The …
Model-based feature enhancement with uncertainty decoding for noise robust ASR
V Stouten, P Wambacq - Speech communication, 2006 - Elsevier
In this paper, several techniques are proposed to incorporate the uncertainty of the clean
speech estimate in the decoding process of the backend recogniser in the context of model …
speech estimate in the decoding process of the backend recogniser in the context of model …
Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporation
D Willett, S Katagiri - 2002 IEEE International Conference on …, 2002 - ieeexplore.ieee.org
This paper presents and evaluates our recent efforts on efficient decoding for Large
Vocabulary Continuous Speech Recognition in the framework of Weighted Finite State …
Vocabulary Continuous Speech Recognition in the framework of Weighted Finite State …
[图书][B] Phonetic search methods for large speech databases
“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within
large speech databases. The brief will begin by outlining the challenges associated with …
large speech databases. The brief will begin by outlining the challenges associated with …
[PDF][PDF] N-best: the northern-and southern-dutch benchmark evaluation of speech recognition technology.
JM Kessens, DA van Leeuwen - Interspeech, 2007 - isca-archive.org
In this paper, we describe N-best 2008, the first Large Vocabulary Speech Recognition
(LVCSR) benchmark evaluation held for the Dutch language. Both the accent as spoken in …
(LVCSR) benchmark evaluation held for the Dutch language. Both the accent as spoken in …