论文解读
Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance
语音识别 | 7.1/10
领域适应
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Simple Language Normalization Wins: Cross-Lingual Speaker Verification for the TidyVoice 2026 Challenge
说话人验证 | 6.8/10
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Singlish, Can or Not? Fine-Tuning and Evaluating Zero-Shot TTS for Singapore English
语音合成 | 6.3/10
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Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin
语音识别 | 6.2/10
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AI_LectureNote: A Retrospective Pilot Study of a Post-ASR Workflow for English-Script Rendering and Semantic Drift in Korean-English Medical Lectures
语音识别 | 7.2/10
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The tttAI System for the TSA-ASR Task of the SmartGlasses Challenge 2026
说话人日志 | 6.5/10
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Adapting a Diffusion-Based Music Synthesis Model to Human Voice Conversion
语音转换 | 6.0/10
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Traceback Translators Against Forgetting in Continual Fake Speech Detection
语音伪造检测 | 6.0/10
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Teaching Speech Enhancement Models to Sing: Domain Adaptation from Speech Enhancement to Singing Voice Separation
音乐源分离 | 6.7/10
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Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR
语音识别 | 8.8/10
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On the Role of Conversational Timing in Synthetic Training Data for ASR
语音识别 | 6.6/10
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PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction
语音分离 | 8.8/10
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MMGenre: Benchmarking Singing Voice Synthesis across Multiple Musical Genres
基准测试 | 8.3/10
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BlueMagpie-TTS: A Token-Efficient Tokenizer, Language Model, and TTS for Taiwanese-Accent Code-Switching Speech
语音合成 | 6.5/10
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MOSAIC: Interpretable Multi-Token Cross-Attention of Biophonetic and Self-Supervised Representations for Unified Voice Anti-Spoofing
语音伪造检测 | 6.3/10
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QuaSR: Quality-Aware Sample Reweighting for Pacific Indigenous Speech Recognition
语音识别 | 6/10
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SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
音频伪造检测 | 6.5/10
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Training-Free Model Selection and Domain-Aware Score Calibration for First-Shot Anomalous Sound Detection
音频事件检测 | 7.3/10
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MetaPerch: Learning from metadata for bioacoustics foundation models
音频分类 | 6.5/10
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Gumbel-BEARD: Automatic Layer Selection for Self-Supervised Adaptation of Whisper in Low-Resource Domains
语音识别 | 9.1/10