KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs
cs.CL, cs.AI
Submitted: 2026-05-27
Updated: 2026-08-30
Terminology
Sources
- VoiceBench: Benchmarking LLM-Based Voice Assistants
- Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
- FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
- MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
- MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
- Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension
- Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
- HyperCLOVA X 8B Omni
- A Survey on LLM-as-a-Judge
- Qwen3-TTS Technical Report
- Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
- CVSS Corpus and Massively Multilingual Speech-to-Speech Translation
- Kimi-Audio Technical Report
- AudioPaLM: A Large Language Model That Can Speak and Listen
- MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
- RNN Approaches to Text Normalization: A Challenge
- SALMONN: Towards Generic Hearing Abilities for Large Language Models
- InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue
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