Proceedings ArticleDOI
Voice Recognition and Voice Comparison using Machine Learning Techniques: A Survey
Nishtha H. Tandel,Harshadkumar B. Prajapati,Vipul K. Dabhi +2 more
- pp 459-465
TLDR
An elaborated literature survey on both traditional and deep learning-based methods of speaker recognition and voice comparison is focused on, which would provide substantial input to beginners and researchers for understanding the domain of voice recognition andVoice comparison.Abstract:
Voice comparison is a variant of speaker recognition or voice recognition. Voice comparison plays a significant role in the forensic science field and security systems. Precise voice comparison is a challenging problem. Traditionally, different classification and comparison models were used by the researchers to solve the speaker recognition and the voice comparison, respectively but deep learning is gaining popularity because of its strength in accuracy when trained with large amounts of data. This paper focuses on an elaborated literature survey on both traditional and deep learning-based methods of speaker recognition and voice comparison. This paper also discusses publicly available datasets that are used for speaker recognition and voice comparison by researchers. This concise paper would provide substantial input to beginners and researchers for understanding the domain of voice recognition and voice comparison.read more
Citations
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Journal ArticleDOI
Dendritic Computing: Branching Deeper into Machine Learning
Jyotibdha Acharya,Arindam Basu,Robert Legenstein,Thomas Limbacher,Panayiota Poirazi,Xundong Wu +5 more
TL;DR: In this article, the authors discuss the nonlinear computational power provided by dendrites in biological and artificial neurons and discuss examples of how dendritic computations have been used to solve real-world classification problems with performance reported on well known data sets used in machine learning.
Journal ArticleDOI
Improved Frame-Wise Segmentation of Audio Signals for Smart Hearing Aid Using Particle Swarm Optimization-Based Clustering
Tushar Mehrotra,Neha Shukla,Tarunika Chaudhary,Gaurav Kumar Rajput,Majid Altuwairiqi,Mohd Asif Shah +5 more
TL;DR: An efficient particle swarm optimization (PSO)-based clustering algorithm is proposed to classify the speech classes, i.e., voiced, unvoiced, and silence, and it is revealed that the proposed algorithm outperforms the competitive algorithms.
Journal ArticleDOI
Tracking droplets in soft granular flows with deep learning techniques.
Mihir Durve,Fabio Bonaccorso,Fabio Bonaccorso,Andrea Montessori,Marco Lauricella,Adriano Tiribocchi,Sauro Succi,Sauro Succi +7 more
TL;DR: In this paper, the state-of-the-art deep learning-based object recognition YOLO algorithm and object tracking DeepSORT algorithm are combined to analyze digital images from fluid dynamic simulations of multi-core emulsions and soft flowing crystals and to track moving droplets within these complex flows.
Journal ArticleDOI
A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions
Mihir Durve,Mihir Durve,Fabio Bonaccorso,Fabio Bonaccorso,Andrea Montessori,Marco Lauricella,Adriano Tiribocchi,Sauro Succi,Sauro Succi +8 more
TL;DR: In this paper, a deep learning-based object detection and object tracking algorithm was proposed to study droplet motion in dense microfluidic emulsions, which can correctly predict the droplets' shape and track their motion at competitive rates as compared to standard clustering algorithms, even in the presence of significant deformations.
Polycost : A telephone-speech database for speaker recognition
TL;DR: An overview of the POLYCOST database dedicated to speaker recognition applications over the telephone network, with main characteristics of medium mixed speech corpus size, English spoken by foreigners, mainly digits with some free speech, collected through international telephone lines.
References
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Journal ArticleDOI
Robust text-independent speaker identification using Gaussian mixture speaker models
Douglas A. Reynolds,Richard Rose +1 more
TL;DR: The individual Gaussian components of a GMM are shown to represent some general speaker-dependent spectral shapes that are effective for modeling speaker identity and is shown to outperform the other speaker modeling techniques on an identical 16 speaker telephone speech task.
Proceedings Article
Signature Verification using a "Siamese" Time Delay Neural Network
TL;DR: An algorithm for verification of signatures written on a pen-input tablet based on a novel, artificial neural network called a "Siamese" neural network, which consists of two identical sub-networks joined at their outputs.
Siamese Neural Networks for One-shot Image Recognition
TL;DR: A method for learning siamese neural networks which employ a unique structure to naturally rank similarity between inputs and is able to achieve strong results which exceed those of other deep learning models with near state-of-the-art performance on one-shot classification tasks.
Journal ArticleDOI
Speaker identification and verification using Gaussian mixture speaker models
TL;DR: High performance speaker identification and verification systems based on Gaussian mixture speaker models: robust, statistically based representations of speaker identity, evaluated on four publically available speech databases.
Proceedings Article
Unsupervised feature learning for audio classification using convolutional deep belief networks
TL;DR: In this paper, the authors apply convolutional deep belief networks to audio data and empirically evaluate them on various audio classification tasks and show that the learned features correspond to phones/phonemes.