Amanote Research

Amanote Research

    RegisterSign In

On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models

doi 10.21437/interspeech.2016-1406
Full Text
Open PDF
Abstract

Available in full text

Date

September 8, 2016

Authors
Tasha NagamineMichael L. SeltzerNima Mesgarani
Publisher

ISCA


Related search

Training Methods for Deep Neural Network-Based Acoustic Models in Speech Recognition

English

Deep Convolutional Neural Network Models for the Diagnosis of Thyroid Cancer

The Lancet Oncology
Oncology
2019English

Deep Convolutional Neural Network Models for the Diagnosis of Thyroid Cancer

The Lancet Oncology
Oncology
2019English

Nonlinear Generalized Canonical Correlation Analysis by Neural Network Models

2002English

Deep Convolutional Neural Network Models for the Diagnosis of Thyroid Cancer – Authors' Reply

The Lancet Oncology
Oncology
2019English

Constructing the Nonlinear Regression Models on the Basis of Multivariate Normalizing Transformations.

Èlektronnoe modelirovanie
2018English

Using Neural Network Parameterizations of the Nonlinear Energy Transfer for Application in Wave Models

2001English

Nonlinear Identification on Based RBF Neural Network

2011English

Deep Columnar Convolutional Neural Network

International Journal of Computer Applications
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy