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Speech-to-Speech Question-Answering on TriviaQA
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57.3
Accuracy
VocalNet
4.468
18.184
31.9
45.616
Jan 30, 2026
Feb 5, 2026
Feb 12, 2026
Feb 18, 2026
Feb 25, 2026
Mar 3, 2026
Mar 10, 2026
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
VocalNet
Model Parameters=8B
2026.03
57.3
Qwen2.5-Omni-7B
Model Parameters=7B
2026.03
56.3
SPEECH-OMNI-LITE
Model Parameters=8B
2026.03
50.4
Baichuan-Omni-1.5
Model Parameters=7B
2026.03
47.28
DIFFUSPEECH
Type=Diff., S→S capabi...
2026.01
45.4
GLM-4-Voice
Model Parameters=9B
2026.03
44.84
LLaMA-Omni2
Model Parameters=7B
2026.03
44.84
Moshi
Type=AR, S→S capabilit...
2026.01
42.1
MinMo
Type=AR, S→S capabilit...
2026.01
40.1
Llama-Omni2
Type=AR, S→S capabilit...
2026.01
35.3
Freeze-Omni
Model Parameters=7B
2026.03
32.36
SpeechGPT
Type=AR, S→S capabilit...
2026.01
14.8
SpiritLM
Type=AR, S→S capabilit...
2026.01
6.5
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