ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set
نویسندگان
چکیده
منابع مشابه
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متن کاملReal-Time Speech Recognition Systems
• Implemented corrective training to improve recognition performance; on the standard training set this improves speaker-independent perplexity 60 performance from 6.7% error to 5.1% error, and for a larger training set (about 11,000 sentences), improves speaker-independent recognition from 5.3% error to 4.1% error. Plans • Complete the construction of the current hardware design, and develop s...
متن کاملReal-Time Speech Recognition System
PROJECT GOALS SRI and U.C.Berkeley are developing hardware for a real-time implementation of spoken language systems (SLS). Our goal is to develop fast speech recognition algorithms and supporting hardware capable of recognizing continuous speech from a bigram or trigram based 10,000 word vocabulary or a 1,000 to 5,000 word SLS system. RECENT RESULTS The special-purpose system achieves its high...
متن کاملSpeech Recognition Experiments with Audiobooks
Under real-life conditions several factors may be present that make the automatic recognition of speech difficult. The most obvious examples are background noise, peculiarities of the speaker’s voice, sloppy articulation and strong emotional load. These all pose difficult problems for robust speech recognition, but it is not exactly clear how much each contributes to the difficulty of the task....
متن کاملSpeech Recognition Experiments with Perceptrons
Artificial neural networks (ANNs) are capable of accurate recognition of simple speech vocabularies such as isolated digits [1]. This paper looks at two more difficult vocabularies, the alphabetic E-set and a set of polysyllabic words. The E-set is difficult because it contains weak discriminants and polysyllables are difficult because of timing variation. Polysyllabic word recognition is aided...
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ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2009
ISSN: 1554-3528
DOI: 10.3758/brm.41.1.154