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Speaker Identification

Papers

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Showing 1–50 of 248 papers

TitleStatusHype
CoLMbo: Speaker Language Model for Descriptive ProfilingCode0
Rhythm Features for Speaker Identification—0
French Listening Tests for the Assessment of Intelligibility, Quality, and Identity of Body-Conducted Speech Enhancement—0
Speech Unlearning—0
Pretraining Multi-Speaker Identification for Neural Speaker Diarization—0
REWIND: Speech Time Reversal for Enhancing Speaker Representations in Diffusion-based Voice Conversion—0
HPP-Voice: A Large-Scale Evaluation of Speech Embeddings for Multi-Phenotypic Classification—0
Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio—0
From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification—0
Speaker Fuzzy Fingerprints: Benchmarking Text-Based Identification in Multiparty Dialogues—0
Whisper Speaker Identification: Leveraging Pre-Trained Multilingual Transformers for Robust Speaker EmbeddingsCode1
Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization—0
A Preliminary Exploration with GPT-4o Voice Mode—0
SCDiar: a streaming diarization system based on speaker change detection and speech recognition—0
Characteristic-Specific Partial Fine-Tuning for Efficient Emotion and Speaker Adaptation in Codec Language Text-to-Speech Models—0
PolInterviews -- A Dataset of German Politician Public Broadcast Interviews—0
Friends-MMC: A Dataset for Multi-modal Multi-party Conversation UnderstandingCode0
Machine Unlearning reveals that the Gender-based Violence Victim Condition can be detected from Speech in a Speaker-Agnostic Setting—0
Towards Speaker Identification with Minimal Dataset and Constrained Resources using 1D-Convolution Neural NetworkCode0
Towards Advanced Speech Signal Processing: A Statistical Perspective on Convolution-Based Architectures and its Applications—0
Incorporating Talker Identity Aids With Improving Speech Recognition in Adversarial Environments—0
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
Enhancing Open-Set Speaker Identification through Rapid Tuning with Speaker Reciprocal Points and Negative Sample—0
Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization—0
ComiCap: A VLMs pipeline for dense captioning of Comic PanelsCode1
How Redundant Is the Transformer Stack in Speech Representation Models?—0
A Toolkit for Joint Speaker Diarization and Identification with Application to Speaker-Attributed ASR—0
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken DialogueCode0
Progressive Residual Extraction based Pre-training for Speech Representation Learning—0
Deep Learning for Speaker Identification: Architectural Insights from AB-1 Corpus Analysis and Performance EvaluationCode0
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language ModelsCode0
VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification BenchmarkCode5
CoMix: A Comprehensive Benchmark for Multi-Task Comic UnderstandingCode1
DASB -- Discrete Audio and Speech Benchmark—0
Evaluating Speaker Identity Coding in Self-supervised Models and Humans—0
SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space ModelCode2
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches—0
Masked Modeling Duo: Towards a Universal Audio Pre-training FrameworkCode0
Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling—0
Hearing-Loss Compensation Using Deep Neural Networks: A Framework and Results From a Listening Test—0
A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement—0
Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification—0
Effect of utterance duration and phonetic content on speaker identification using second-order statistical methods—0
Significance of Chirp MFCC as a Feature in Speech and Audio Applications—0
Probing Self-supervised Learning Models with Target Speech Extraction—0
Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis—0
Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models—0
SIG: Speaker Identification in Literature via Prompt-Based GenerationCode0
Voxceleb-ESP: preliminary experiments detecting Spanish celebrities from their voices—0
Efficiency-oriented approaches for self-supervised speech representation learning—0
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Benchmark Results

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