{"list":"other","total":64,"rows":[{"id":"2006.11477","title":"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations","created":"2020-06-20","cited_by_count":3905},{"id":"2005.08100","title":"Conformer: Convolution-augmented Transformer for Speech Recognition","created":"2020-05-16","cited_by_count":1863},{"id":"2110.13900","title":"WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing","created":"2021-10-26","cited_by_count":1657},{"id":"1912.06670","title":"Common Voice: A Massively-Multilingual Speech Corpus","created":"2019-12-13","cited_by_count":1384},{"id":"2210.13438","title":"High Fidelity Neural Audio Compression","created":"2022-10-24","cited_by_count":687},{"id":"2111.09296","title":"XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale","created":"2021-11-17","cited_by_count":601},{"id":"1510.08484","title":"MUSAN: A Music, Speech, and Noise Corpus","created":"2015-10-28","cited_by_count":425},{"id":"2106.06909","title":"GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio","created":"2021-06-13","cited_by_count":399},{"id":"2305.10429","title":"DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining","created":"2023-05-17","cited_by_count":399},{"id":"2410.06885","title":"F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching","created":"2024-10-09","cited_by_count":361},{"id":"2412.10117","title":"CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models","created":"2024-12-13","cited_by_count":288},{"id":"2403.03100","title":"NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models","created":"2024-03-05","cited_by_count":226},{"id":"2312.05187","title":"Seamless: Multilingual Expressive and Streaming Speech Translation","created":"2023-12-08","cited_by_count":192},{"id":"2403.16952","title":"Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance","created":"2024-03-25","cited_by_count":184},{"id":"2110.01200","title":"AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks","created":"2021-10-04","cited_by_count":180},{"id":"2011.01108","title":"End-to-end anti-spoofing with RawNet2","created":"2020-11-02","cited_by_count":164},{"id":"2109.00537","title":"ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection","created":"2021-09-01","cited_by_count":161},{"id":"2304.09151","title":"UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining","created":"2023-04-18","cited_by_count":151},{"id":"2203.16263","title":"Does Audio Deepfake Detection Generalize?","created":"2022-03-30","cited_by_count":135},{"id":"2406.05370","title":"VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers","created":"2024-06-08","cited_by_count":122},{"id":"2202.12233","title":"Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation","created":"2022-02-24","cited_by_count":117},{"id":"1803.10963","title":"Attentive Statistics Pooling for Deep Speaker Embedding","created":"2018-03-29","cited_by_count":114},{"id":"2010.11567","title":"AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines","created":"2020-10-22","cited_by_count":111},{"id":"2202.08433","title":"ADD 2022: the First Audio Deep Synthesis Detection Challenge","created":"2022-02-17","cited_by_count":96},{"id":"2408.08739","title":"ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale","created":"2024-08-16","cited_by_count":91},{"id":"2111.02813","title":"WaveFake: A Data Set to Facilitate Audio Deepfake Detection","created":"2021-11-04","cited_by_count":78},{"id":"2107.12710","title":"End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection","created":"2021-07-27","cited_by_count":70},{"id":"2111.04433","title":"RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing","created":"2021-11-08","cited_by_count":67},{"id":"2305.13774","title":"ADD 2023: the Second Audio Deepfake Detection Challenge","created":"2023-05-23","cited_by_count":64},{"id":"2401.09512","title":"MLAAD: The Multi-Language Audio Anti-Spoofing Dataset","created":"2024-01-17","cited_by_count":56},{"id":"1911.01799","title":"CN-CELEB: a challenging Chinese speaker recognition dataset","created":"2019-10-31","cited_by_count":48},{"id":"2503.02857","title":"Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024","created":"2025-03-04","cited_by_count":45},{"id":"2304.13085","title":"AI-Synthesized Voice Detection Using Neural Vocoder Artifacts","created":"2023-04-25","cited_by_count":41},{"id":"2010.15006","title":"Replay and Synthetic Speech Detection with Res2net Architecture","created":"2020-10-28","cited_by_count":39},{"id":"2405.04880","title":"The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio","created":"2024-05-08","cited_by_count":31},{"id":"2411.10027","title":"XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection","created":"2024-11-15","cited_by_count":30},{"id":"2306.01428","title":"Improved DeepFake Detection Using Whisper Features","created":"2023-06-02","cited_by_count":29},{"id":"2404.13914","title":"A Survey on Speech Deepfake Detection","created":"2024-04-22","cited_by_count":27},{"id":"2406.17376","title":"Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection","created":"2024-06-25","cited_by_count":25},{"id":"2009.09637","title":"Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks","created":"2020-09-21","cited_by_count":23},{"id":"2409.17285","title":"SpoofCeleb: Speech Deepfake Detection and SASV In The Wild","created":"2024-09-18","cited_by_count":22},{"id":"2509.02859","title":"Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models","created":"2025-09-02","cited_by_count":21},{"id":"2409.08731","title":"DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset","created":"2024-09-13","cited_by_count":20},{"id":"2409.11909","title":"Mixture of Experts Fusion for Fake Audio Detection Using Frozen wav2vec 2.0","created":"2024-09-18","cited_by_count":20},{"id":"2504.05657","title":"Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing","created":"2025-04-08","cited_by_count":19},{"id":"2110.10491","title":"A Study On Data Augmentation In Voice Anti-Spoofing","created":"2021-10-20","cited_by_count":18},{"id":"2409.16077","title":"Leveraging Mixture of Experts for Improved Speech Deepfake Detection","created":"2024-09-24","cited_by_count":15},{"id":"1906.09890","title":"Self Multi-Head Attention for Speaker Recognition","created":"2019-06-24","cited_by_count":13},{"id":"2506.21090","title":"Post-training for Deepfake Speech Detection","created":"2025-06-26","cited_by_count":11},{"id":"2505.13930","title":"BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention","created":"2025-05-20","cited_by_count":10},{"id":"2406.03512","title":"Harder or Different? Understanding Generalization of Audio Deepfake Detection","created":"2024-06-05","cited_by_count":9},{"id":"2501.14240","title":"Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation","created":"2025-01-24","cited_by_count":8},{"id":"2507.21463","title":"SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods","created":"2025-07-29","cited_by_count":7},{"id":"2505.14862","title":"Replay Attacks Against Audio Deepfake Detection","created":"2025-05-20","cited_by_count":6},{"id":"2509.09175","title":"MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection","created":"2025-09-11","cited_by_count":5},{"id":"2502.10838","title":"Generalizable speech deepfake detection via meta-learned LoRA","created":"2025-02-15","cited_by_count":4},{"id":"2507.08227","title":"RawTFNet: A Lightweight CNN Architecture for Speech Anti-spoofing","created":"2025-07-11","cited_by_count":4},{"id":"2508.01897","title":"Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincar\\'e sphere","created":"2025-08-03","cited_by_count":4},{"id":"2603.06164","title":"Do Compact SSL Backbones Matter for Audio Deepfake Detection? A Controlled Study with RAPTOR","created":"2026-03-06","cited_by_count":4},{"id":"2504.12423","title":"Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios","created":"2025-04-16","cited_by_count":3},{"id":"2507.15101","title":"Frame-level Temporal Difference Learning for Partial Deepfake Speech Detection","created":"2025-07-20","cited_by_count":3},{"id":"2509.09204","title":"Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems","created":"2025-09-11","cited_by_count":3},{"id":"2509.23618","title":"Generalizable Speech Deepfake Detection via Information Bottleneck Enhanced Adversarial Alignment","created":"2025-09-28","cited_by_count":1},{"id":"2512.18210","title":"A Data-Centric Approach to Generalizable Speech Deepfake Detection","created":"2025-12-20","cited_by_count":1}],"next_cursor":null}