论文解读
Progressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR
语音识别 | 4.6/10
Posts
论文解读
ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions
语音合成 | 7.6/10
论文解读
Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation
音乐生成 | 2.3/10
论文解读
QuaSR: Quality-Aware Sample Reweighting for Pacific Indigenous Speech Recognition
语音识别 | 6/10
论文解读
RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain
音频理解 | 8.1/10
论文解读
Ranking the Impact of Contextual Specialization in Neural Speech Enhancement
语音增强 | 6.7/10
论文解读
REDDIT: Correcting Model-Generated Timestamp Drift in ASR without Forgetting via Replay-Based Distribution Editing
语音识别 | 7.8/10
论文解读
Reinforcement Learning for Data-Efficient Code-Switched ASR
语音识别 | 5.3/10
论文解读
S-DiverSe: Spanish Diverse Speech
语音识别 | 5.8/10
论文解读
Sampling Bias Compensation for Robust Evaluation of Audio Classification Systems with Partially Labeled Evaluation Datasets
音频分类 | 4.9/10
论文解读
Speaker-Aware Temporal Aggregation Strategies on Segment Representations for Depression Detection in Dyadic Interaction: A Benchmark Study
语音属性识别 | 7.9/10
论文解读
Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization
语音编码 | 7.9/10
论文解读
SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models
语音交互 | 8.9/10
论文解读
Streaming Neural Speech Codecs through Time-Invariant Representations
语音编码 | 6.0/10
论文解读
SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
音频伪造检测 | 6.5/10
论文解读
Taste-aware music retrieval from audio embeddings
音乐检索 | 6.9/10
论文解读
TokAN: Accent Normalization Using Self-Supervised Speech Tokens
语音转换 | 7.5/10
论文解读
Towards Digital Preservation of Efik: TTS for a Low-Resource African Language
语音合成 | 4/10
论文解读
Towards Language-Agnostic Speech Inversion
语音属性识别 | 5.6/10
论文解读
Towards Robust Uncertainty-Aware Speaker Modeling
说话人验证 | 5.7/10