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» The limits of speech recognition
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NAACL
2007
13 years 10 months ago
Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
Amarnag Subramanya, Jeff A. Bilmes
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Thurid Vogt, Elisabeth André
ICANN
2005
Springer
14 years 2 months ago
Classifying Unprompted Speech by Retraining LSTM Nets
Abstract. We apply Long Short-Term Memory (LSTM) recurrent neural networks to a large corpus of unprompted speech- the German part of the VERBMOBIL corpus. Training first on a fra...
Nicole Beringer, Alex Graves, Florian Schiel, J&uu...
NIPS
1997
13 years 10 months ago
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
In thispaper, we present a novelhybridarchitecture forcontinuousspeech recognition systems. It consists of a continuous HMM system extended by an arbitrary neural network that is ...
Daniel Willett, Gerhard Rigoll
AAAI
1998
13 years 10 months ago
Conversation Machines for Transaction Processing
We have built a set of integrated AI systems (called conversation machines) to enable transaction processing over the telephone for limited domains like stock trading and banking....
Wlodek Zadrozny, Catherine G. Wolf, Nanda Kambhatl...