- Chart data
- artificial-analysis
- Pronunciation Robustness by Category
Pronunciation Robustness by Category
The numbers behind a chart artificial-analysis published, redrawn natively. Check the original, study the data, then make your own.
Simplified redraw
Drawn by us from the numbers below. Hover, tap or use the arrow keys.A simplified redraw: it shows the numbers in our own look, not the look of the original. One accent marks what the chart is about. Values marked with ~ in the table are estimates.
The numbers
First 10 of 64 points are free| Group | Series | Value | Source | Conf. |
|---|---|---|---|---|
| Gemini 2.0 Flash TTS | Standalone Terms (Term Pronunciation) | ~89.5% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Contextually Appropriate (Contextual Disambiguation) | ~88.2% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Preserving Exact Sequences (Sequence Fidelity) | ~87.6% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Expanding Shorthand (Text Normalization) | ~87.4% | Estimate | 0.30 |
| Gemini 2.5 Flash TTS | Standalone Terms (Term Pronunciation) | ~88.2% | Estimate | 0.30 |
| Gemini 2.5 Flash TTS | Contextually Appropriate (Contextual Disambiguation) | ~87.4% | Estimate | 0.30 |
| Gemini 2.5 Flash TTS | Preserving Exact Sequences (Sequence Fidelity) | ~87.6% | Estimate | 0.30 |
| Gemini 2.5 Flash TTS | Expanding Shorthand (Text Normalization) | ~87.4% | Estimate | 0.30 |
| SpeechX-TTS v3 | Standalone Terms (Term Pronunciation) | ~87.6% | Estimate | 0.30 |
| SpeechX-TTS v3 | Contextually Appropriate (Contextual Disambiguation) | ~87.4% | Estimate | 0.30 |
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| SpeechX-TTS v3 | Preserving Exact Sequences (Sequence Fidelity) | ~87.6% | Estimate | 0.30 |
|---|---|---|---|---|
| SpeechX-TTS v3 | Expanding Shorthand (Text Normalization) | ~87.4% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Standalone Terms (Term Pronunciation) | ~87.4% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Contextually Appropriate (Contextual Disambiguation) | ~87.4% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Preserving Exact Sequences (Sequence Fidelity) | ~87.4% | Estimate | 0.30 |
| Gemini 2.0 Flash TTS | Expanding Shorthand (Text Normalization) | ~87.4% | Estimate | 0.30 |
| Eleven v3 | Standalone Terms (Term Pronunciation) | ~85.6% | Estimate | 0.30 |
| Eleven v3 | Contextually Appropriate (Contextual Disambiguation) | ~85.6% | Estimate | 0.30 |
| Eleven v3 | Preserving Exact Sequences (Sequence Fidelity) | ~85.6% | Estimate | 0.30 |
| Eleven v3 | Expanding Shorthand (Text Normalization) | ~85.6% | Estimate | 0.30 |
| Conversational | Standalone Terms (Term Pronunciation) | ~84.8% | Estimate | 0.30 |
| Conversational | Contextually Appropriate (Contextual Disambiguation) | ~84.8% | Estimate | 0.30 |
| Conversational | Preserving Exact Sequences (Sequence Fidelity) | ~84.8% | Estimate | 0.30 |
| Conversational | Expanding Shorthand (Text Normalization) | ~84.8% | Estimate | 0.30 |
| OpenAudio S1-TTS | Standalone Terms (Term Pronunciation) | ~81.6% | Estimate | 0.30 |
| OpenAudio S1-TTS | Contextually Appropriate (Contextual Disambiguation) | ~81.6% | Estimate | 0.30 |
| OpenAudio S1-TTS | Preserving Exact Sequences (Sequence Fidelity) | ~81.6% | Estimate | 0.30 |
| OpenAudio S1-TTS | Expanding Shorthand (Text Normalization) | ~81.6% | Estimate | 0.30 |
| RealTime TTS-2.0 | Standalone Terms (Term Pronunciation) | ~80.7% | Estimate | 0.30 |
| RealTime TTS-2.0 | Contextually Appropriate (Contextual Disambiguation) | ~80.7% | Estimate | 0.30 |
| RealTime TTS-2.0 | Preserving Exact Sequences (Sequence Fidelity) | ~80.7% | Estimate | 0.30 |
| RealTime TTS-2.0 | Expanding Shorthand (Text Normalization) | ~80.7% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~77.6% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~77.6% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~77.6% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~77.6% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~74.8% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~74.8% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~74.8% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~74.8% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~73.6% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~73.6% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~73.6% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~73.6% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~73.2% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~73.2% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~73.2% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~73.2% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~72.1% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~72.1% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~72.1% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~72.1% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~68.8% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~68.8% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~68.8% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~68.8% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~63.6% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~63.6% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~63.6% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~63.6% | Estimate | 0.30 |
| Sesame CSM-1B | Standalone Terms (Term Pronunciation) | ~62.1% | Estimate | 0.30 |
| Sesame CSM-1B | Contextually Appropriate (Contextual Disambiguation) | ~62.1% | Estimate | 0.30 |
| Sesame CSM-1B | Preserving Exact Sequences (Sequence Fidelity) | ~62.1% | Estimate | 0.30 |
| Sesame CSM-1B | Expanding Shorthand (Text Normalization) | ~62.1% | Estimate | 0.30 |
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Use this chart via API
On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 454dae92855a.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/454dae92855a | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/454dae92855a/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/454dae92855a/render?view=1 | The draw-only view this page uses | Open |
| POST | /mcp | Tool get_chart_data with this id, for Claude, Cursor and other agents | Max |
curl -s https://viral-chart.com/api/v1/charts/454dae92855a/data \
-H "Authorization: Bearer $VIRALCHART_KEY"claude mcp add --transport http viralchart https://viral-chart.com/mcp \
--header "Authorization: Bearer $VIRALCHART_KEY"60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.
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How accurate are these numbers?
They are estimated from the image by two independent passes, with confidence 0.30 on a 0 to 1 scale. Printed numbers read well; values read off an axis can be a few percent off.
Can I reuse this data?
The numbers describe a chart that artificial-analysis published. The image, layout and styling belong to them. Use the numbers with a credit to the publisher, and make your picture from your own data.
How do I get the file?
The JSON, CSV and agent skill file are under the email gate on this page. In this prototype they are static files at /api/charts/454dae92855a.json and /api/charts/454dae92855a.skill.md.