speaker-independent (SI)
Multi-speaker frequency warping vocal tract length normalization for speaker independent speech recognition
... However, phoneme does not free from the problems related to speech signal. Majority of the researchers still have issues on phoneme recognition performance as phonemes are too fragile in spectrum form (Salam, Mohamad and ...
30
A New Paradigm for Speaker Independent Training and Speaker Adaptation
... A New Paradigm for Speaker Independent Training and Speaker Adaptation A New Paradigm for Speaker Independent Training and Speaker Adaptation Francis Kubala and Richard Schwartz BBN Systems and Techno[.] ...
5
Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition
... Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Improved Hidden Markov Modeling for Speaker Independent Continuous Speech Recognition Xuedong Huang, Fil Alleva, S[.] ...
5
Speaker Independent Phonetic Transcription of Fluent Speech for Large Vocabulary Speech Recognition
... 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 E N T S P E[.] ...
6
Speaker Independent and text Independent Emotion Recognition System Based on Random Forest Classifier
... This system refers to the area of automatic emotion recognition from speech signals. In this system, an emotional speech database from Myanmar movies is employed. Therefore the noise reduction method is needed and used ...
8
Speaker Independent Vowel Recognition using Backpropagation Neural Network on Master Slave Architecture
... Speech recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable format. The first serious speech recognizer was developed in 1952 by ...
5
Speaker Independent Phone Recognition Using BREF
... Speaker Independent Phone Recognition Using BREF Speaker Independent Phone Recognition Using BREF Jean Luc Gauvain a n d Lori F L a m e l L I M S I C N R S , B P 133 9 1 4 0 3 O r s a y c e d e x , F[.] ...
6
Speaker Independent Speech Recognition of Isolated Words in Room Environment
... Abstract — In this paper, the process of recognizing some important words from a large set of vocabularies is demonstrated based on the combination of dynamic and instantaneous features of the speech spectrum. There are ...
7
Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition
... Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Steve Lowe[.] ...
5
Acoustic Modeling of Subword Units for Large Vocabulary Speaker Independent Speech Recognition
... ACOUSTIC MODELING OF SUBWORD UNITS FOR LARGE VOCABULARY SPEAKER INDEPENDENT SPEECH RECOGNITION A C O U S T I C M O D E L I N G O F S U B W O R D U N I T S F O R L A R G E V O C A B U L A R Y S P E A K[.] ...
12
Speaker independent machine lip reading with speaker dependent viseme classifiers
... Speaker identity is known to be important in the recognition of speech from visual-only information (lip-reading) [1], more so than in audio speech. One of the difficulties in dealing with vi- sual speech is what ...
6
Audio Visual Speech Recognition for People with Speech Disorders
... the speaker independent (SI) systems have low recognition accuracy for dysarthria speakers; so, speaker dependent (SD) systems have been investigated in some papers reporting that this system type is ...
6
Computer classification of stop consonants in a speaker independent continuous speech environment
... categories: discrete starting the best of showed outperformed at by preceding the simple burst release, results 512 of with stops labial, classification or outperformed with preemphasis [r] ...
77
Speaker-independent isolated word recognition using multiple hidden Markov models
... Consideration of the speech production process suggests that Gaussian mixture models offer a good description, and the EM algorithm is an effective classification me[r] ...
7
Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering
... Conventional Speaker Identification(SI) Systems uses individual Gaussian Mixture Models(GMM) for every ...population Speaker identification systems, then during identification, likelihood computations ...
6
International Journal of Computer Science and Mobile Computing
... Another research was done by Ahmad A. M. Abushariah, Teddy S. Gunawan, and Othman O. Khalifa in their paper “English Digits Speech Recognition System Based on Hidden Markov Models”. Two modules were developed, namely the ...
6
Lipper: Synthesizing Thy Speech Using Multi-View Lipreading
... Another task in lipreading domain is dealing with pose- variation. Usually, different models are made for dealing with different poses (Lucey and Potamianos 2006; Kumar, Chen, and Stern 2007; Lan, Theobald, and Harvey ...
8
Combining residual networks with LSTMs for lipreading
... Lan, “Improved speaker independent lip reading using speaker adaptive training and deep neural networks,” in IEEE International Conference on Acoustics, Speech and Signal Processing ICAS[r] ...
5
A Tutorial on Text Independent Speaker Verification
... the speaker model is trained independently of the background ...of speaker-independent, broad acoustic classes of speech sounds, then adaptation is the speaker-dependent “tuning” of those ...
22
RECOGNITION OF SPEECH SIGNALS: AN EXPERIMENTAL COMPARISON OF LINEAR PREDICTIVE CODING AND DISCRETE WAVELET TRANSFORMS
... In this paper, a speech recognition system is developed using two different feature extraction techniques and a comparative study is carried out for recognizing speaker independent spoken isolated words. ...
8