MedASR-Bench / src /data /results.json
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MedASR Bench: full platform + Hugging Face Docker Space packaging
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{
"datasets": [
{
"info": {
"id": "vimedcss",
"name": "ViMedCSS",
"status": "live",
"fullName": "Vietnamese Medical Code-Switching Speech",
"tagline": "Code-switched medical speech from Vietnamese lectures — every utterance carries at least one English clinical term.",
"source": "Vietnamese medical YouTube lectures",
"hours": 34.57,
"utterances": 16576,
"csTerms": 889,
"license": "CC-BY-4.0",
"arxiv": "2602.12911",
"hf": "tensorxt/ViMedCSS",
"splits": {
"train": {
"hours": 24.31,
"utts": 11833
},
"valid": {
"hours": 3.56,
"utts": 1714
},
"test": {
"hours": 3.38,
"utts": 1615
},
"hard": {
"hours": 1.38,
"utts": 658
}
}
},
"models": [
{
"slug": "phowhisper-small-ag",
"name": "PhoWhisper-small + Attention-Guide",
"org": "ViMedCSS paper",
"paramsB": 0.244,
"license": "BSD-3-Clause",
"category": "vn-open",
"track": "C",
"provenance": "paper-imported",
"flags": {
"frozen": true,
"zone1": true
},
"note": "Published adapted SOTA",
"metrics": {
"test": {
"wer": 23.67,
"csWer": 19.5
}
}
},
{
"slug": "phowhisper-small-lora",
"name": "PhoWhisper-small + LoRA",
"org": "ViMedCSS paper",
"paramsB": 0.244,
"license": "BSD-3-Clause",
"category": "vn-open",
"track": "C",
"provenance": "paper-imported",
"flags": {
"frozen": true,
"zone1": true
},
"metrics": {
"test": {
"wer": 27.13,
"csWer": 30.26
}
}
},
{
"slug": "vietasr",
"name": "VietASR (Zipformer 68M)",
"org": "SJTU / zzasdf",
"paramsB": 0.068,
"license": "Apache-2.0",
"category": "vn-open",
"track": "A",
"provenance": "paper-imported",
"flags": {
"zone1": true
},
"note": "Best published zero-shot",
"metrics": {
"test": {
"wer": 27.56,
"csWer": 58.38
}
}
},
{
"slug": "phowhisper-large",
"name": "PhoWhisper-large",
"org": "VinAI",
"paramsB": 1.55,
"license": "BSD-3-Clause",
"category": "vn-open",
"track": "A",
"provenance": "paper-imported",
"flags": {
"frozen": true,
"zone1": true
},
"note": "Clinical Scribe incumbent candidate",
"metrics": {
"test": {
"wer": 31.24,
"csWer": 55.05
}
}
},
{
"slug": "whisper-large-v3",
"name": "Whisper-large-v3",
"org": "OpenAI",
"paramsB": 1.55,
"license": "Apache-2.0",
"category": "multilingual-open",
"track": "A",
"provenance": "paper-imported",
"flags": {
"zone1": true
},
"note": "Best published zero-shot CS-WER",
"metrics": {
"test": {
"wer": 34.47,
"csWer": 46.69
}
}
},
{
"slug": "phowhisper-small",
"name": "PhoWhisper-small",
"org": "VinAI",
"paramsB": 0.244,
"license": "BSD-3-Clause",
"category": "vn-open",
"track": "A",
"provenance": "paper-imported",
"flags": {
"frozen": true,
"zone1": true
},
"metrics": {
"test": {
"wer": 36.31
}
}
},
{
"slug": "wav2vec2-base-vi",
"name": "wav2vec2-base-vi",
"org": "—",
"paramsB": 0.095,
"license": "Open",
"category": "vn-open",
"track": "A",
"provenance": "paper-imported",
"metrics": {
"test": {
"wer": 44.74
}
}
},
{
"slug": "whisper-small",
"name": "Whisper-small",
"org": "OpenAI",
"paramsB": 0.244,
"license": "Apache-2.0",
"category": "multilingual-open",
"track": "A",
"provenance": "paper-imported",
"metrics": {
"test": {
"wer": 50.03
}
}
},
{
"slug": "mms-1b",
"name": "MMS-1B",
"org": "Meta",
"paramsB": 1,
"license": "CC-BY-NC-4.0",
"category": "multilingual-open",
"track": "A",
"provenance": "paper-imported",
"metrics": {
"test": {
"wer": 58.3
}
}
},
{
"slug": "zipformer-30m",
"name": "Zipformer-30M RNNT (VLSP 2025)",
"org": "hynt",
"paramsB": 0.03,
"license": "CC-BY-NC-ND-4.0",
"category": "vn-open",
"track": "A",
"provenance": "platform-verified",
"flags": {
"referenceOnly": true
},
"note": "VLSP 2025 challenge winner, run as the platform's reference yardstick",
"metrics": {
"test": {
"wer": 19.81,
"werCi": [
19.06,
20.53
],
"cer": 15.92,
"csWer": 74.55,
"csWerCi": [
72.35,
76.89
],
"nWer": 17.78,
"mtrExact": 27.31,
"mtrFuzzy": 36.48,
"rtfx": 48.12
},
"hard": {
"wer": 25.31,
"werCi": [
23.79,
26.9
],
"cer": 20.01,
"csWer": 80.86,
"csWerCi": [
77.48,
84.09
],
"nWer": 23.02,
"mtrExact": 19.81,
"mtrFuzzy": 27.7,
"rtfx": 54.72
}
}
},
{
"slug": "qwen3-asr-0.6b",
"name": "Qwen3-ASR-0.6B",
"org": "Alibaba",
"paramsB": 0.6,
"license": "Apache-2.0",
"category": "multilingual-open",
"track": "A",
"provenance": "platform-verified",
"flags": {
"zone1": true
},
"note": "First sub-1B audio-LLM on the board — strongest code-switching recall of the verified runs",
"metrics": {
"test": {
"wer": 21.29,
"werCi": [
20.5,
22.02
],
"cer": 16.11,
"csWer": 68.49,
"csWerCi": [
66.12,
71.03
],
"nWer": 19.54,
"mtrExact": 32.29,
"mtrFuzzy": 42.31,
"rtfx": 4.96
},
"hard": {
"wer": 25,
"werCi": [
23.47,
26.4
],
"cer": 18.63,
"csWer": 68.3,
"csWerCi": [
64.51,
72.18
],
"nWer": 23.22,
"mtrExact": 30.76,
"mtrFuzzy": 38,
"rtfx": 8.82
}
}
},
{
"slug": "gemini-2.5-pro",
"name": "Gemini 2.5 Pro (audio)",
"org": "Google",
"license": "API",
"category": "api-intl",
"track": "A",
"provenance": "planned",
"flags": {
"contamination": true
},
"note": "Seeded this dataset labels — permanently contamination-flagged"
},
{
"slug": "gemini-3.5-flash",
"name": "Gemini 3.5 Flash (audio)",
"org": "Google",
"license": "API",
"category": "api-intl",
"track": "A",
"provenance": "api-snapshot",
"flags": {
"contamination": true
},
"note": "Gemini-family — ViMedCSS labels were Gemini-2.5-seeded, so every Gemini result carries a permanent contamination flag",
"metrics": {
"test": {
"wer": 13.84,
"werCi": [
13.06,
14.72
],
"cer": 12.22,
"csWer": 29.38,
"csWerCi": [
26.95,
31.89
],
"nWer": 13.26,
"mtrExact": 71.25,
"mtrFuzzy": 80.75
},
"hard": {
"wer": 16.08,
"werCi": [
14.46,
17.85
],
"cer": 14.12,
"csWer": 24.66,
"csWerCi": [
21.25,
28.24
],
"nWer": 15.72,
"mtrExact": 75.68,
"mtrFuzzy": 80.03
}
}
},
{
"slug": "deepgram-nova-3",
"name": "Deepgram Nova-3",
"org": "Deepgram",
"license": "API",
"category": "api-intl",
"track": "A",
"provenance": "api-snapshot",
"note": "Latest Deepgram model with Vietnamese support; date-stamped API snapshot",
"metrics": {
"test": {
"wer": 31.53,
"werCi": [
30,
33.14
],
"cer": 28.45,
"csWer": 70.75,
"csWerCi": [
68.34,
73.47
],
"nWer": 30.07,
"mtrExact": 29.99,
"mtrFuzzy": 38.83
},
"hard": {
"wer": 37.68,
"werCi": [
35.04,
40.26
],
"cer": 34.03,
"csWer": 76.88,
"csWerCi": [
73.07,
80.31
],
"nWer": 36.06,
"mtrExact": 23.67,
"mtrFuzzy": 33.17
}
}
},
{
"slug": "gpt-4o-transcribe",
"name": "gpt-4o-transcribe",
"org": "OpenAI",
"license": "API",
"category": "api-intl",
"track": "A",
"provenance": "planned"
},
{
"slug": "elevenlabs-scribe-v2",
"name": "ElevenLabs Scribe v2",
"org": "ElevenLabs",
"license": "API",
"category": "api-intl",
"track": "B",
"provenance": "planned",
"note": "Keyterm biasing — Track B"
},
{
"slug": "fpt-ai-stt",
"name": "FPT.AI STT",
"org": "FPT Smart Cloud",
"license": "API",
"category": "api-vn",
"track": "A",
"provenance": "planned"
}
]
},
{
"info": {
"id": "vietmed",
"name": "VietMed",
"status": "coming-soon",
"tagline": "Real-world Vietnamese medical speech recorded in actual doctor–patient conversations.",
"source": "Real-world medical speech recordings"
},
"models": []
},
{
"info": {
"id": "private-clinic",
"name": "Private Clinic Set",
"status": "coming-soon",
"tagline": "Private conversational recordings from partner clinics, held out from public release to resist test-set contamination.",
"source": "Partner clinic consultations",
"eta": "2026"
},
"models": []
}
]
}