Spoken language recognition: from fundamentals to practice
Spoken language recognition refers to the automatic process through which we determine
or verify the identity of the language spoken in a speech sample. We study a computational …
or verify the identity of the language spoken in a speech sample. We study a computational …
Language identification: A tutorial
This tutorial presents an overview of the progression of spoken language identification (LID)
systems and current developments. The introduction provides a background on automatic …
systems and current developments. The introduction provides a background on automatic …
Automatic dialect detection in arabic broadcast speech
We investigate different approaches for dialect identification in Arabic broadcast speech,
using phonetic, lexical features obtained from a speech recognition system, and acoustic …
using phonetic, lexical features obtained from a speech recognition system, and acoustic …
Instantaneous voiced/non-voiced detection in speech signals based on variational mode decomposition
A Upadhyay, RB Pachori - Journal of the Franklin Institute, 2015 - Elsevier
In this paper, a variational mode decomposition (VMD) based method has been proposed
for the instantaneous detection of voiced/non-voiced (V/NV) regions in the speech signals. In …
for the instantaneous detection of voiced/non-voiced (V/NV) regions in the speech signals. In …
Active mapping: Resisting NIDS evasion without altering traffic
A critical problem faced by a network intrusion detection system (NIDS) is that of ambiguity.
The NIDS cannot always determine what traffic reaches a given host nor how that host will …
The NIDS cannot always determine what traffic reaches a given host nor how that host will …
Method for estimating the energy consumption of electric vehicles and plug‐in hybrid electric vehicles under real‐world driving conditions
This study presents a novel framework by which the energy consumption of an electric
vehicle (EV) or the zero‐emissions range of a plug‐in hybrid electric vehicle (PHEV) may be …
vehicle (EV) or the zero‐emissions range of a plug‐in hybrid electric vehicle (PHEV) may be …
[PDF][PDF] Parallel inference of dirichlet process Gaussian mixture models for unsupervised acoustic modeling: a feasibility study.
We adopt a Dirichlet process Gaussian mixture model (DPGMM) for unsupervised acoustic
modeling and represent speech frames with Gaussian posteriorgrams. The model performs …
modeling and represent speech frames with Gaussian posteriorgrams. The model performs …
An artificial neural network approach to automatic speech processing
An artificial neural network (ANN) is a powerful mathematical framework used to either
model complex relationships between inputs and outputs or find patterns in data. It is based …
model complex relationships between inputs and outputs or find patterns in data. It is based …
Feature extraction methods in language identification: a survey
Abstract Language Identification (LI) is one of the widely emerging field in the areas of
speech processing to accurately identify the language from the data base based on some …
speech processing to accurately identify the language from the data base based on some …
Unsupervised training of an HMM-based self-organizing unit recognizer with applications to topic classification and keyword discovery
M Siu, H Gish, A Chan, W Belfield, S Lowe - Computer Speech & Language, 2014 - Elsevier
We present our approach to unsupervised training of speech recognizers. Our approach
iteratively adjusts sound units that are optimized for the acoustic domain of interest. We thus …
iteratively adjusts sound units that are optimized for the acoustic domain of interest. We thus …