Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

doi 10.1109/icassp.2009.4960618
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

Modulation Frequency Features for Phoneme Recognition in Noisy Speech

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2009English

Segregation of Concurrent Sounds. II: Effects of Spectral Envelope Tracing, Frequency Modulation Coherence, and Frequency Modulation Width

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
1991English

Automatic Modulation Recognition Using Compressive Cyclic Features

Algorithms
MathematicsComputational MathematicsNumerical AnalysisTheoretical Computer ScienceComputational Theory
2017English

Object Recognition Using Frequency Domain Blur Invariant Features

English

Phoneme Recognition System Using Articulatory-Type Information

TECCIENCIA
2015English

Performance Enhancement of Phoneme Recognition Using GPUs

2017English

Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands

English

Robust Spectral Features for Emotion Recognition Using GMM and SVM With PCA

International Journal of Recent Technology and Engineering
EngineeringManagement of TechnologyInnovation
2019English

Signal Adaptive Spectral Envelope Estimation for Robust Speech Recognition

Speech Communication
LinguisticsPattern RecognitionLanguageCommunicationSimulationComputer VisionComputer Science ApplicationsModelingSoftware
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy