An Analytical Survey of Large Vocabulary Russian Speech Recognition Systems

Large vocabulary Russian speech recognition using syntactico-statistical language modeling

Speech is the most natural way of human communication and in order to achieve convenient and efficient human–computer interaction implementation of state-of-the-art spoken language technology is necessary. Research in this area has been traditionally focused on several main languages, such as English, French, Spanish, Chinese or Japanese, but some other languages, particularly Eastern European ...

Large Vocabulary Continuous Speech Recognition :

Large Vocabulary Speech Recognition Prototype

Objective The objective of this project is to develop a system for real-time recognition of natural language continuous speech. To satisfy the objective of "natural language", the system must recognize the sentences actually produced by users in a realistic application -no artificial grammatical restriction will be allowed merely for the purpose of the speech recognition. On the other hand, the...

Large Vocabulary Continuous Speech Recognition

Large vocabulary speaker-independent speech recognition systems being capable of recognizing continuous speech based on hidden Markov models are today’s standard. This review introduces the fundamentals of speech and the underlying speech recognition problems. The three classical approaches, i.e., the acoustic-phonetic, the statistical (pattern) recognition and the artificial intelligence appro...

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...