论文解读
Slot Filling as a Reasoning Task for Speechllms
槽填充 | 6.5/10
语音大模型
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Speaker Anonymisation for Speech-Based Suicide Risk Detection
语音匿名化 | 7.5/10
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SpeechMapper: Speech-To-Text Embedding Projector for LLMs
语音大模型 | 7.0/10
论文解读
SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition
语音识别 | 7.0/10
论文解读
Step-Audio-R1.5 Technical Report
语音对话系统 | 8.0/10
论文解读
Streaming Speech Recognition with Decoder-Only Large Language Models and Latency Optimization
语音识别 | 7.0/10
论文解读
StyleBench: Evaluating Speech Language Models on Conversational Speaking Style Control
基准测试 | 8.5/10
论文解读
T-Cache: Fast Inference For Masked Generative Transformer-Based TTS Via Prompt-Aware Feature Caching
语音合成 | 9.0/10
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Target-Speaker LLM-ASR with Speaker-Aware Speech Encoder
语音识别 | 8.8/10
论文解读
TASU: Text-only Alignment for Speech Understanding
语音识别 | 7.0/10
论文解读
TICL: Text-Embedding KNN for Speech in-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models
语音识别 | 7.5/10
论文解读
Towards Building Speech Large Language Models for Multitask Understanding in Low-Resource Languages
语音识别 | 6.5/10
论文解读
Train Short, Infer Long: Speech-LLM Enables Zero-Shot Streamable Joint ASR and Diarization on Long Audio
说话人分离 | 9.0/10
论文解读
Two-Stage Language Model Framework for Acoustic Echo Cancellation
语音增强 | 7.5/10
论文解读
UJCodec: An End-to-end Unet-Style Codec for Joint Speech Compression and Enhancement
语音增强 | 7.5/10
论文解读
Understanding Textual Capability Degradation in Speech LLMS via Parameter Importance Analysis
语音问答 | 7.5/10
论文解读
Vocalnet-M2: Advancing Low-Latency Spoken Language Modeling via Integrated Multi-Codebook Tokenization and Multi-Token Prediction
语音对话系统 | 7.5/10
论文解读
WAV2LEV: Predicting Levenshtein Edit Operation Sequences For Fine-Grained Estimation of Automatic Speech Recognition Error
语音识别 | 7.5/10
论文解读
Whisper-MLA: Reducing GPU Memory Consumption of ASR Models Based on MHA2MLA Conversion
语音识别 | 7.0/10
论文解读
Whisper-QF: Leveraging Dual Cross-Attention Q-Former for Speech Emotion Recognition With Multi-Task Learning
语音情感识别 | 7.5/10