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» The limits of speech recognition
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HICSS
2007
IEEE
154views Biometrics» more  HICSS 2007»
14 years 3 months ago
Gulliver-A Framework for Building Smart Speech-Based Applications
Speech recognition has matured over the past years to the point that companies can seriously consider its use. However, from a developer’s perspective we observe that speech inp...
Werner Kurschl, Stefan Mitsch, Rene Prokop, Johann...
IPPS
1999
IEEE
14 years 1 months ago
A Parallel Phoneme Recognition Algorithm Based on Continuous Hidden Markov Model
This paper presents a parallel phoneme recognition algorithm based on the continuous Hidden Markov Model (HMM). The parallel phoneme recognition algorithm distributes 3-state HMMs...
Sang-Hwa Chung, Min-Uk Park, Hyung-Soon Kim
ICASSP
2009
IEEE
14 years 3 months ago
Automatic named identification of speakers using diarization and ASR systems
In this paper, we consider the extraction of speaker identity from audio records of broadcast news without a priori acoustic information about speakers. Using an automatic speech ...
Vincent Jousse, Simon Petit-Renaud, Sylvain Meigni...
LREC
2008
117views Education» more  LREC 2008»
13 years 10 months ago
The AUTONOMATA Spoken Names Corpus
In the Autonomata project we have collected a corpus of spoken name utterances with manually corrected phonemic transcriptions of these utterances. The corpus was designed with th...
Henk van den Heuvel, Jean-Pierre Martens, Bart D'h...
NIPS
1996
13 years 10 months ago
Adaptively Growing Hierarchical Mixtures of Experts
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Jürgen Fritsch, Michael Finke, Alex Waibel