Use of Hidden Markov Models and Factored Language Models for Automatic Chord Recognition

MAN-MACHINE INTERACTION SYSTEM FOR SUBJECT INDEPENDENT SIGN LANGUAGE RECOGNITION USING FUZZY HIDDEN MARKOV MODEL

Sign language recognition has spawned more and more interest in human–computer interaction society. The major challenge that SLR recognition faces now is developing methods that will scale well with increasing vocabulary size with a limited set of training data for the signer independent application. The automatic SLR based on hidden Markov models (HMMs) is very sensitive to gesture's shape inf...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Improved Automatic Chord Recognition

This paper describes a chord recognition system submitted to the MIREX 2009 Audio Chord detection contest. Extracting harmonic information from audio signals has become a topic of keen interest for many researches in Music Information Retrieval (MIR) community. The FBK submission consists of two chord detection system: baseline and the system with language modeling functionality. The two submis...

Chord segmentation and recognition using EM-trained hidden markov models

Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological analyses based on very large corpora of recorded performances. Chord sequences are a description that captures much of the character of a piece in a compact form and using a modest lexicon. Chords also have the attractive...