JNAS: Japanese speech corpus for large vocabulary continuous speech recognition research.

An Amharic speech corpus for large vocabulary continuous speech recognition

• has rich morphology -> many word forms. Phonetics Amharic has a set of 38 phones, seven vowels and thirty-one consonants. Consonants Manner Voicing Place of Articulation of Art/n Lab Dent Pal Vel Glo Stops Voiceless p[p] t[t] m[t∫ ] k[k] …[?] Voiced b[b] d[d] ¥[d ] g[g] GlottalizedÍ[p‘] μ[t‘] 1⁄2[t∫ ‘]q[q] Rounded [kw], [gw], [qw] Fricatives Voiceless f[f] s[s] ][∫ ] h[h] Voiced z[z] •[ ] Glo...

Research in Large Vocabulary Continuous Speech Recognition

The primary long term goal of speech research at Dragon Systems is to develop algorithms that are capable of achieving very high performance large vocabulary continuous speech recognition. At the same time, we are also concerned to keep the demands of those algorithms for computational power and memory as modest as possible, so that the results of our research can be incorporated into products ...

Sharable software repository for Japanese large vocabulary continuous speech recognition

The project of Japanese LVCSR (Large Vocabulary Continuous Speech Recognition) platform is introduced. 1 It is a collaboration of researchers of different academic institutes and intended to develop a sharable software repository of not only databases but also models and programs. The platform consists of a standard recognition engine, Japanese phone models and Japanese statistical language mod...

Free software toolkit for Japanese large vocabulary continuous speech recognition

A sharable software repository for Japanese LVCSR (Large Vocabulary Continuous Speech Recognition) is introduced. It is designed as a baseline platform for research and developed by researchers of different academic institutes under a governmental support. The repository consists of a recognition engine (Julius), Japanese acoustic models and statistical language models as well as Japanese morph...

Large Vocabulary Continuous Speech Recognition :