SOTAVerified

Speaker Identification

Papers

Showing 201225 of 248 papers

TitleStatusHype
A user study to compare two conversational assistants designed for people with hearing impairments0
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support0
Experiments on Open-Set Speaker Identification with Discriminatively Trained Neural Networks0
Advanced Rich Transcription System for Estonian Speech0
Learning Speaker Representations with Mutual InformationCode1
Histogram Transform-based Speaker Identification0
Speaker Recognition from Raw Waveform with SincNetCode1
Weakly Supervised Training of Speaker Identification Models0
On Learning Associations of Faces and VoicesCode0
VAST: A Corpus of Video Annotation for Speech Technologies0
Evaluation of Automatic Formant Trackers0
Computer-assisted Speaker Diarization: How to Evaluate Human Corrections0
Identifying Speakers and Addressees in Dialogues Extracted from Literary Fiction0
Matics Software Suite: New Tools for Evaluation and Data Exploration0
Seeing Voices and Hearing Faces: Cross-modal biometric matching0
Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics0
From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script0
Speaker identification from the sound of the human breath0
基於聽覺感知模型之類神經網路及其在語者識別上之應用 (Two-stage Attentional Auditory Model Inspired Neural Network and Its Application to Speaker Identification) [In Chinese]0
Identifying Speakers and Listeners of Quoted Speech in Literary Works0
Story Comprehension for Predicting What Happens Next0
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification0
Face Recognition with Machine Learning in OpenCV_ Fusion of the results with the Localization Data of an Acoustic Camera for Speaker Identification0
Text-based Speaker Identification on Multiparty Dialogues Using Multi-document Convolutional Neural Networks0
Speaker Identification in each of the Neutral and Shouted Talking Environments based on Gender-Dependent Approach Using SPHMMs0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MSM-MAETop-1 (%)96.6Unverified
2M2D/0.6Top-1 (%)96.5Unverified
3M2D/0.7Top-1 (%)96.3Unverified
4M2D ratio=0.6Top-1 (%)94.8Unverified
5AudioMAE (local)Top-1 (%)94.8Unverified
6ATST Base (ours)Top-1 (%)94.3Unverified
7AudioMAE (global)Top-1 (%)94.1Unverified
8AutoSpeech (N=8,C=128)Top-1 (%)87.66Unverified
9SSAST-FRAMETop-1 (%)80.8Unverified
10SSAMBATop-1 (%)70.1Unverified
#ModelMetricClaimedVerifiedStatus
1Fuzzy RetrievalTop-1 (%)67.77Unverified
#ModelMetricClaimedVerifiedStatus
1Fuzzy RetrievalTop-1 (%)80.83Unverified
#ModelMetricClaimedVerifiedStatus
1Fuzzy RetrievalTop-1 (%)95.13Unverified