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What Makes a Good Layer? Assessing the Layer-Wise Intrinsic Properties of Music Foundation Models
音乐理解 | 7.7/10
迁移学习
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Comparative Analysis of Multilingual Pre-trained Models for Nepali Automatic Speech Recognition
语音识别 | 7.6/10
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Motor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection
语音属性识别 | 6.1/10
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DonorRank: Donor Language Selection for Low-Resource Cross-Lingual Speech Recognition
语音识别 | 6.6/10
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Easper: An Accessible ASR Pipeline for Language Documentation
语音识别 | 7.0/10
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Measuring Cross-Cultural Style Diffusion Through Era Classification: US and Korean Popular Music
音乐理解 | 8.3/10
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Transfer Learning for Avian Bioacoustics under Sparse Positive Labels
音频分类 | 7.1/10
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Gecko: Fast Private Inference via Secure Public Encoder Offloading
迁移学习 | 6.9/10
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Does EEG Foundation Models Transfer to Speech? A Benchmark on Overt and Imagined Speech Decoding
语音识别 | 6.5/10
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Self-Supervised Audio Representation Learning for Pediatric Asthma Detection in Emergency Care Using Digital Stethoscope Recordings
音频分类 | 5.0/10
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Looking for Affect in Spontaneous Finnish Speech through Linguistic Interpretability
语音情感识别 | 5.3/10
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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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Cross-Subject Semantic Decoding with Shared-Space Alignment for Generalized Neural Representation Learning
语音交互 | 6.3/10
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Can Tokens Compete? Token Representations against Supervised CNN Backbones for BirdCLEF+ 2026
音频事件检测 | 8.3/10
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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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MetaPerch: Learning from metadata for bioacoustics foundation models
音频分类 | 9.0/10
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Hybrid Continual Learning for Low-Resource Australian Aboriginal Language Identification
语音识别 | 6.3/10
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TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings
音频分类 | 7.9/10
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Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR
语音识别 | 6.5/10
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From Sinhala to Dhivehi: Cross-Lingual Transfer Learning for Low-Resource Speech Recognition
语音识别 | 6.6/10