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A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine
语音合成 | 7.4/10
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Analyzing Language and Geographical Variation in Speech Representations Across 60 Indic Languages
语音识别 | 6.5/10
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Cross-Dataset, Age, and Gender Generalization: A Comprehensive Analysis of Fine-Tuning Strategies for Low-Resource Children's ASR
语音识别 | 6.7/10
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Improving Code-Switching ASR with Code-Mixing Guided Synthetic Speech
语音识别 | 7.6/10
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Improving End-to-End Speech Recognition for Dysarthric Speech through In-Domain Data Augmentation
语音识别 | 6.5/10
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Low-Burden Data Augmentation for Dysarthric ASR via Zero-Shot Voice Cloning
语音识别 | 8.7/10
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ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion
语音合成 | 6.2/10
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S-JEPA : Soft Clustering Anchors for Self-Supervised Speech Representation Learning
语音识别 | 8.7/10
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Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models
语音识别 | 8.3/10
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DASH: Dual-View Self-Distillation with Multi-Layer Hidden Representations for Robust Speech Recognition
语音识别 | 6.6/10
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IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages
语音识别 | 9.5/10
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Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentation
语音识别 | 5.5/10
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Montreal Forced Aligner and the state of speech-to-text alignment in 2026
语音识别 | 7.5/10
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Native Active Perception as Reasoning for Omni-Modal Understanding
语音识别 | 9.1/10
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Responsible ASR: Overcoming Challenges of Foundational Models in Narrow-Band and Low-Resource Settings
语音识别 | 6.5/10
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Speech-Driven End-to-End Language Discrimination towards Chinese Dialects
语音识别 | 5.8/10
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An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages
语音识别 | 5.7/10
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Are you speaking my languages? On spoken language adherence in multimodal LLMs
语音识别 | 8/10
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Grounding Spoken LLMs in Multi-Speaker Audio via Diarization Conditioning
语音识别 | 8.5/10
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Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation
语音识别 | 7.5/10