✦ LIBER ✦

Speech recognition using hidden Markov models: A CMU perspective

✍ Scribed by Kai-Fu Lee; Hsiao-Wuen Hon; Mei-Yuh Hwang; Xuedong Huang

Publisher: Elsevier Science
Year: 1990
Tongue: English
Weight: 1000 KB
Volume: 9
Category: Article
ISSN: 0167-6393
DOI: 10.1016/0167-6393(90)90025-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Speech recognition using hidden Markov m

Speech recognition using hidden Markov models based on segmental statistics

✍ Seiichi Nakagawa; Kazumasa Yamamoto 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 925 KB

Multiple VQ hidden Markov modelling for

Multiple VQ hidden Markov modelling for speech recognition

✍ J.C. Segura; A.J. Rubio; A.M. Peinado; P. García; R. Román 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 527 KB

Keyword detection in conversational spee

Keyword detection in conversational speech utterances using hidden Markov model based continuous speech recognition

✍ R.C. Rose 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 213 KB

This paper describes a set of modeling techniques for detecting a small vocabulary of keywords in running conversational speech. The techniques are applied in the context of a hidden Markov model (HMM) based continuous speech recognition (CSR) approach to keyword spotting. The word spotting task is

Automatic Keyword Recognition Using Hidd

Automatic Keyword Recognition Using Hidden Markov Models

✍ Shyh-shiaw Kuo; Oscar E. Agazzi 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 518 KB

State clustering in hidden Markov model-

State clustering in hidden Markov model-based continuous speech recognition

✍ S.J. Young; P.C. Woodland 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 535 KB

A key problem in the use of context-dependent hidden Markov models is the need to balance the desired model complexity with the amount of available training data. This paper describes a method which uses a simple agglomerative algorithm to cluster and tie acoustically similar states. The main proper

Large scale discriminative training of h

Large scale discriminative training of hidden Markov models for speech recognition

✍ P.C. Woodland; D. Povey 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 197 KB

This paper describes, and evaluates on a large scale, the lattice based framework for discriminative training of large vocabulary speech recognition systems based on Gaussian mixture hidden Markov models (HMMs). This paper concentrates on the maximum mutual information estimation (MMIE) criterion wh