Papers Text-Dependent Speaker Verification
“Text-Dependent Speaker Verification” 태그가 달린 논문 25편 · 필터 해제
The SVASR System for Text-dependent Speaker Verification (TdSV) AAIC Challenge 2024
This paper introduces an efficient and accurate pipeline for text-dependent speaker verification (TDSV), designed to address the need for high-performance biometric systems. The proposed system incorporates a Fast-Confor…
Speaker VerificationText-Dependent Speaker VerificationBilingual Text-dependent Speaker Verification with Pre-trained Models for TdSV Challenge 2024
This paper presents our submissions to the Iranian division of the Text-dependent Speaker Verification Challenge (TdSV) 2024. TdSV aims to determine if a specific phrase was spoken by a target speaker. We developed two i…
Domain AdaptationSpeaker VerificationText-Dependent Speaker VerificationText-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan
This document outlines the Text-dependent Speaker Verification (TdSV) Challenge 2024, which centers on analyzing and exploring novel approaches for text-dependent speaker verification. The primary goal of this challenge …
Few-Shot LearningMulti-Task LearningSelf-Supervised LearningSpeaker Verification+1On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck features, key considerati…
Contrastive LearningRepresentation LearningSpeaker VerificationText-Dependent Speaker VerificationPhoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
This paper proposes a multi-task learning network with phoneme-aware and channel-wise attentive learning strategies for text-dependent Speaker Verification (SV). In the proposed structure, the frame-level multi-task lear…
Multi-Task LearningSpeaker VerificationText-Dependent Speaker VerificationData Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
In this paper, we propose a novel method that trains pass-phrase specific deep neural network (PP-DNN) based auto-encoders for creating augmented data for text-dependent speaker verification (TD-SV). Each PP-DNN auto-enc…
Decision MakingSpeaker VerificationText-Dependent Speaker VerificationTransfer LearningVocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
In this letter, we propose a vocal tract length (VTL) perturbation method for text-dependent speaker verification (TD-SV), in which a set of TD-SV systems are trained, one for each VTL factor, and score-level fusion is a…
Speaker VerificationText-Dependent Speaker VerificationExploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification
In this paper, we propose a novel way of addressing text-dependent automatic speaker verification (TD-ASV) by using a shared-encoder with task-specific decoders. An autoregressive predictive coding (APC) encoder is pre-t…
DecoderSpeaker VerificationText-Dependent Speaker VerificationUIAI System for Short-Duration Speaker Verification Challenge 2020
In this work, we present the system description of the UIAI entry for the short-duration speaker verification (SdSV) challenge 2020. Our focus is on Task 1 dedicated to text-dependent speaker verification. We investigate…
Speaker VerificationText-Dependent Speaker VerificationOn Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors
Applying x-vectors for speaker verification has recently attracted great interest, with the focus being on text-independent speaker verification. In this paper, we study x-vectors for text-dependent speaker verification …
Contrastive LearningSpeaker VerificationText-Dependent Speaker VerificationText-Independent Speaker Verification+1Short-duration Speaker Verification (SdSV) Challenge 2021: the Challenge Evaluation Plan
This document describes the Short-duration Speaker Verification (SdSV) Challenge 2021. The main goal of the challenge is to evaluate new technologies for text-dependent (TD) and text-independent (TI) speaker verification…
Speaker RecognitionSpeaker VerificationText-Dependent Speaker VerificationText-Independent Speaker VerificationA Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database
DeepMine is a speech database in Persian and English designed to build and evaluate text-dependent, text-prompted, and text-independent speaker verification, as well as Persian speech recognition systems. It contains mor…
Speaker Verificationspeech-recognitionSpeech RecognitionText-Dependent Speaker Verification+1Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification
There are a number of studies about extraction of bottleneck (BN) features from deep neural networks (DNNs)trained to discriminate speakers, pass-phrases and triphone states for improving the performance of text-dependen…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)ClusteringContrastive Learning+4Adversarial Speaker Verification
The use of deep networks to extract embeddings for speaker recognition has proven successfully. However, such embeddings are susceptible to performance degradation due to the mismatches among the training, enrollment, an…
General ClassificationSpeaker RecognitionSpeaker VerificationText-Dependent Speaker VerificationOptimization of the Area Under the ROC Curve using Neural Network Supervectors for Text-Dependent Speaker Verification
This paper explores two techniques to improve the performance of text-dependent speaker verification systems based on deep neural networks. Firstly, we propose a general alignment mechanism to keep the temporal structure…
Speaker VerificationText-Dependent Speaker VerificationTripletDifferentiable Supervector Extraction for Encoding Speaker and Phrase Information in Text Dependent Speaker Verification
In this paper, we propose a new differentiable neural network alignment mechanism for text-dependent speaker verification which uses alignment models to produce a supervector representation of an utterance. Unlike previo…
Speaker VerificationText-Dependent Speaker VerificationSpoken Pass-Phrase Verification in the i-vector Space
The task of spoken pass-phrase verification is to decide whether a test utterance contains the same phrase as given enrollment utterances. Beside other applications, pass-phrase verification can complement an independent…
Speaker VerificationText-Dependent Speaker VerificationAttention-Based Models for Text-Dependent Speaker Verification
Attention-based models have recently shown great performance on a range of tasks, such as speech recognition, machine translation, and image captioning due to their ability to summarize relevant information that expands …
Image CaptioningMachine TranslationSpeaker RecognitionSpeaker Verification+4Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification
Text-dependent speaker verification is becoming popular in the speaker recognition society. However, the conventional i-vector framework which has been successful for speaker identification and other similar tasks works …
Speaker IdentificationSpeaker RecognitionSpeaker VerificationText-Dependent Speaker Verification+1On Residual CNN in text-dependent speaker verification task
Deep learning approaches are still not very common in the speaker verification field. We investigate the possibility of using deep residual convolutional neural network with spectrograms as an input features in the text-…
Speaker VerificationText-Dependent Speaker Verification