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Performance analysis of ASR system in hybrid DNN-HMM framework using a PWL euclidean activation function
Automatic Speech Recognition (ASR) is the process of map** an acoustic speech signal into a human readable text format. Traditional systems exploit...
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Construction of Suitable DNN-HMM for Classification Between Normal and Abnormal Respiration
In many situations, abnormal sounds termed adventitious sounds are part of the lung sound of a subject suffering from a pulmonary disease. In this...
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DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features
Speech emotion recognition (SER) systems are often evaluated in a speaker-independent manner. However, the variation in the acoustic features of...
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Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel
In this paper, we discuss some interesting features of training a special acoustic model for only one speaker with a constant acoustic background...
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An Equal Data Setting for Attention-Based Encoder-Decoder and HMM/DNN Models: A Case Study in Finnish ASR
Standard end-to-end training of attention-based ASR models only uses transcribed speech. If they are compared to HMM/DNN systems, which additionally...
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Finnish parliament ASR corpus
Public sources like parliament meeting recordings and transcripts provide ever-growing material for the training and evaluation of automatic speech...
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Usefulness of glottal excitation source information for audio-visual speech recognition system
In this work, the excitation source based glottal information is explored as a supplementary evidence for develo** robust audio-visual speech...
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Robust Perceptual Wavelet Packet Features for the Recognition of Spontaneous Kannada Sentences
The speech community achieved significant improvements in the performance of ASR systems for English and other languages. But, the ASR for...
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Bird Call Classification Using DNN-Based Acoustic Modelling
Bird call recognition using deep neural network-hidden Markov model (DNN-HMM)-based transcription is proposed. The work is an attempt to adapt the...
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An end-to-end continuous Kannada ASR system under uncontrolled environment
Achieving better speech recognition accuracy under real-time conditions is still a challenging task, and many researchers are striving to improve...
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Speech Recognition System of Spoken Isolated Digit in Standard Khasi Dialect
This paper aims to analyze the performance of a speaker independent spoken isolated digit recognition system in standard (Sohra) dialect of Khasi...
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Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments
In this work, we conducted an empirical comparative study of the performance of text-independent speaker verification in emotional and stressful...
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Optimal Crop Recommendation by Soil Extraction and Classification Techniques Using Machine Learning
Soil determines importance of food especially in farming and agriculture. Various soils are used by various crops. Many researchers published on...
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A framework for quality assessment of synthesised speech using learning-based objective evaluation
In this paper, we propose a novel method of evaluating text-to-speech systems named “Learning-Based Objective Evaluation” (LBOE), which utilises a...
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A comparative study for Arabic speech recognition system in noisy environments
Speech recognition in noisy environments is one of the long-standing research themes but remains a very important challenge nowadays. Therefore,...
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Using Pre-trained Models for Code-Switched Speech Recognition
In various regions of the world, people tend to use a mix of multiple languages in day-to-day communication. The multilingual ASR system must...
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Improvements in ASR system to access the real-time agricultural commodity prices and weather information in Kannada language/dialects
This research work showcases advancements in an isolated Kannada automatic speech recognition (ASR) system designed for accessing agricultural...
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CNN based keyword spotting: An application for context based voiced Odia words
In recent times, pre-trained convolutional neural networks (CNN) have outdid traditional automatic speech recognition systems based on Gaussian...
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Computational intelligence in processing of speech acoustics: a survey
Speech recognition of a language is a key area in the field of pattern recognition. This paper presents a comprehensive survey on the speech...
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Effect of Linear Prediction Order to Modify Formant Locations for Children Speech Recognition
Children’s speech recognition shows poor performance as compared to adult speech. Large amount of data is required for the neural network models to...