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» Signal processing tools for speech recognition
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ICASSP
2008
IEEE
14 years 2 months ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan
ICASSP
2008
IEEE
14 years 2 months ago
Toward a detector-based universal phone recognizer
In recent research, we have proposed a high-accuracy bottom-up detection-based paradigm for continuous phone speech recognition. The key component of our system was a bank of arti...
Sabato Marco Siniscalchi, Torbjørn Svendsen...
ICASSP
2011
IEEE
12 years 11 months ago
Computer-assisted transcription of speech based on confusion network reordering
Large vocabulary automatic speech recognition (ASR) technologies perform well in known and controlled contexts. In less controlled conditions, however, human review is often neces...
Antoine Laurent, Sylvain Meignier, Téva Mer...
ICASSP
2011
IEEE
12 years 11 months ago
Using stacked transformations for recognizing foreign accented speech
A common problem in speech recognition for foreign accented speech is that there is not enough training data for an accent-specific or a speaker-specific recognizer. Speaker ada...
Peter Smit, Mikko Kurimo
ICASSP
2011
IEEE
12 years 11 months ago
A multi-stream ASR framework for BLSTM modeling of conversational speech
We propose a novel multi-stream framework for continuous conversational speech recognition which employs bidirectional Long Short-Term Memory (BLSTM) networks for phoneme predicti...
Martin Wöllmer, Florian Eyben, Björn Sch...