Improved HMM Models for High Performance Speech Recognition

The continuous speech recognition accuracy using sparse HMM-state posterior features using KL- HMM modeling is compared with the phone posteriors features in Figure 2.. The

REDUCED CHANNEL DEPENDENCE FOR SPEECH RECOGNITION R E D U C E D C H A N N E L D E P E N D E N C E F O R S P E E C H R E C O G N I T I O N Hy Murveit, John Butzberger, and Mitch Weintraub

PERFORMANCE OF SRI'S DECIPHER TM SPEECH RECOGNITION SYSTEM ON DARPA'S CSR TASK P E R F O R M A N C E O F S R I ' S D E C I P H E R TM S P E E C H R E C O G N I T I O N S Y S T E M O N D A

TOWARDS USING PROSODY IN SPEECH RECOGNITION/UNDERSTANDING SYSTEMS DIFFERENCES BETWEEN READ AND SPONTANEOUS SPEECH T O W A R D S U S I N G P R O S O D Y IN S P E E C H R E C O G N I T I O

The Lincoln Continuous Tied Mixture HMM Speech Recognizer* The Lincoln Continuous Tied Mixture HMM Speech Recognizer* D o u g l a s B P a u l Lincoln Laboratory, M I T Lexington, Ma 02173

Recent Results from the ARM Continuous Speech Recognition Project R e c e n t R e s u l t s f r o m t h e A R M C o n t i n u o u s S p e e c h R e c o g n i t i o n P r o j e c t M a r t

SPEAKER INDEPENDENT PHONETIC TRANSCRIPTION OF FLUENT SPEECH FOR LARGE VOCABULARY SPEECH RECOGNITION S P E A K E R I N D E P E N D E N T P H O N E T I C T R A N S C R I P T I O N O F F L U

THE AUDITORY PROCESSING AND RECOGNITION OF SPEECH T H E A U D I T O R Y P R O C E S S I N G A N D R E C O G N I T I O N O F S P E E C H William Byrne, John Robinson, Shihab