论文解读
OpenBibleTTS: Large-Scale Speech Resources and TTS Models for Low-Resource Languages
语音合成 | 8/10
数据集
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Revisiting Lexicon Evaluation in Unsupervised Word Discovery
语音识别 | 1/10
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SpeechJBB: Probing Safety Alignment and Comprehension in Large Audio Language Models under Code-Switched Speech
语音识别 | 7.3/10
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SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory
基准测试 | 8.4/10
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DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities
多模态模型 | 9.3/10
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Representation Matters in Randomized Smoothing for Audio Classification
音频分类 | 5.7/10
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SpeakerCard-1M: An Evidence-Grounded Speaker Card Corpus for In-the-Wild Speaker Verification
说话人验证 | 7.4/10
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RRP-Voice: A Longitudinal Dataset and Benchmark for Recurrent Respiratory Papillomatosis Detection
数据集 | 8.3/10
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MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors
语音合成 | 8.5/10
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ChildVox: A Speech, Audio, and Large Audio-Language Model Benchmark in Understanding and Characterizing Sound across Childhood
语音识别 | 8/10
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Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking
语音合成 | 8.6/10
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A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning
多模态模型 | 7.7/10
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Can We Hear from Events? Generating Speech from Event Camera
语音合成 | 7.8/10
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Toward Natural Emotional Text-To-Speech System with Fine-Grained Non-Verbal Expression Control
语音合成 | 6.3/10
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Cost-Effective Model Evaluation with Meta-Learning
迁移学习 | 5.4/10
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MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio
音频深度伪造检测 | 10/10
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MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding
视频行为识别 | 5.9/10
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A strongly annotated passive acoustic dataset for tropical bird monitoring
生物声学 | 7.2/10
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Benchmarking Commercial ASR Systems on Code-Switching Speech: Arabic, Persian, and German
语音识别 | 6.8/10
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Evaluating Speech Articulation Synthesis with Articulatory Phoneme Recognition
语音质量评估 | 8.2/10