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» Emotion recognition using imperfect speech recognition
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NIPS
2007
14 years 11 months ago
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
Brain-computer interfaces (BCIs), as any other interaction modality based on physiological signals and body channels (e.g., muscular activity, speech and gestures), are prone to e...
Pierre W. Ferrez, José del R. Millán
CORR
2004
Springer
126views Education» more  CORR 2004»
14 years 9 months ago
Effects of Language Modeling on Speech-driven Question Answering
We integrate automatic speech recognition (ASR) and question answering (QA) to realize a speech-driven QA system, and evaluate its performance. We adapt an Ngram language model to...
Tomoyosi Akiba, Atsushi Fujii, Katunobu Itou
ICASSP
2011
IEEE
14 years 1 months ago
Lattice-based unsupervised acoustic model training
Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Thiago Fraga-Silva, Jean-Luc Gauvain, Lori Lamel
IJCNN
2000
IEEE
15 years 2 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
IRAL
2000
ACM
15 years 2 months ago
Content-based language models for spoken document retrieval
Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multimedia collections in the near future. This paper...
Hsin-Min Wang, Berlin Chen