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AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR
语音识别 | 6.5/10
语音识别
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Confident and Adaptive Generative Speech Recognition via Risk Control
语音识别 | 8.0/10
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CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition
语音识别 | 8.0/10
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Latent Speech-Text Transformer
语音大模型 | 8.5/10
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Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech Recognition
语音识别 | 8.5/10
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Scaling Speech Tokenizers with Diffusion Autoencoders
语音分词 | 7.5/10
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Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
语音识别 | 8.5/10
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StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs
语音分词 | 9.0/10
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SumRA: Parameter Efficient Fine-tuning with Singular Value Decomposition and Summed Orthogonal Basis
语音识别 | 7.5/10
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Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus
语音识别 | 7.0/10
论文解读
AppTek Call-Center Dialogues: A Multi-Accent Long-Form Benchmark for English ASR
语音识别 | 6.5/10
论文解读
BUT System Description for CHiME-9 MCoRec Challenge
语音识别 | 6.5/10
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DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models
说话人识别 | 8.0/10
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Few-Shot Accent Synthesis for ASR with LLM-Guided Phoneme Editing
语音识别 | 7.5/10
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HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics
语音识别 | 7.0/10
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Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models
语音识别 | 7.0/10
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LRS-VoxMM: A benchmark for in-the-wild audio-visual speech recognition
语音识别 | 9.0/10
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Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition
语音识别 | 6.5/10
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Selective Augmentation: Improving Universal Automatic Phonetic Transcription via G2P Bootstrapping
语音识别 | 6.0/10
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StarDrinks: An English and Korean Test Set for SLU Evaluation in a Drink Ordering Scenario
数据集 | 7.5/10