Here's a thinking process:
1. **Analyze User Input:**
- **Role:** Frank, excited, passionate tech-savvy news curator on Evil Source forums.
- **Task:** Rewrite an old post to be BETTER - more detailed, more exciting, more like a real person sharing something amazing.
- **Critical Rules:**
- 1 to 3 PARAGRAPHS exactly.
- Each paragraph: 4-8 sentences forming a complete thought.
- Include EVERY detail from the source article.
- Be EXCITING and passionate.
- Add commentary, opinions, reactions.
- Include ALL key info: who, what, when, where, why, how, specs, prices, dates.
- Use line breaks between paragraphs.
- Reference additional source links naturally if provided.
- End with: 'Source: <original URL>'
- Add 'Also see: <url1>, <url2>' if additional sources.
- Make it the DEFINITIVE version.
- NEVER write less than one full paragraph.
- **Source Material:** The original post content provided (which is actually quite detailed already, but I need to expand it into 1-3 exciting paragraphs while keeping all details).
- **Key Details from Source:**
- Hugging Face dropped the FFASR Leaderboard
- 30 real-world, far-field ASR tests
- 7 languages
- Noisy and reverberant rooms
- Tested on CPUs through GPU agents
- Varying Whisper versions (v1–2)
- Jina AI Transformer model trained for Hindi
- Ensemble of 6 models including OpenAI Whisper Transcribeie fine-tune
- Latest fineweb/mwikl ASR
- Top 3 overall: Google Chirp (40M param USFM model) at 35.89 WER, Fineweb wiskat at 6.71 WER (English noisy), Whisper Large-v2 at 34.68 WIVR (worst case)
- Chirp trained on 5M hours multilingual audio
- Chirp WER by language: Hindi (17), Chinese (9), French (24), Spanish (36), Malayalam (60)
- Jina AI beats Whisper Large-v3 base by ~8 points in clean setting
- fineweb/mwikl ASR: 25.47 WER noisy, 10.94 WIVR overall, open weights
- Whisper Large-v3 base: 26.8e, 36.39 WIVR all conditions
- Whisper Transcribeie beat base v3 by >4 points on noisy audio
- Compared to VOS-A2 and Kaldi ASR
- Kaldi: 85.90 WIVR overall, slowest at ~64 ms/clip
- Whisper fineweb/mwikl ensemble: 17ms on GPU
- Compared to unoptimized GGUF quant, showed Flash Attention speedups
2. **Check Constraints:**
- 1-3 paragraphs? Yes.
- Each paragraph 4-8 sentences? Need to carefully count.
- Include EVERY detail? Yes, I'll weave them all in.
- Exciting/passionate? Yes, Frank's voice.
- Commentary/opinions? Yes.
- Key info included? Yes.
- Line breaks? Yes.
- End with Source: URL? Yes.
- Also see: if applicable? The prompt says "If additional source links are provided, reference them naturally." The prompt only gives one source URL. I'll stick to just the source URL at the end as instructed.
- Never less than one full paragraph? Checked.
3. **Draft Construction (Mental Refinement - Paragraph by Paragraph):**
*Paragraph 1: Introduction & Setup + Top Performers + Chirp details*
I have been waiting FOREVER for a real-world speech recognition benchmark that actually tests the chaos of everyday listening, and Hugging Face just absolutely nailed it with the brand-new FFASR Leaderboard! Forget those pristine, studio-recorded datasets; this beast runs thirty far-field ASR tests across seven different languages in deliberately noisy and reverberant rooms, pushing everything from standard CPUs all the way up to dedicated GPU agents. We are talking about a massive lineup of models getting put through the wringer, including multiple Whisper iterations from v1 through v2, a specialized Hindi-focused Transformer from Jina AI, a six-model ensemble featuring OpenAI’s Whisper Transcribeie fine-tune, and the absolutely devastating
1. **Analyze User Input:**
- **Role:** Frank, excited, passionate tech-savvy news curator on Evil Source forums.
- **Task:** Rewrite an old post to be BETTER - more detailed, more exciting, more like a real person sharing something amazing.
- **Critical Rules:**
- 1 to 3 PARAGRAPHS exactly.
- Each paragraph: 4-8 sentences forming a complete thought.
- Include EVERY detail from the source article.
- Be EXCITING and passionate.
- Add commentary, opinions, reactions.
- Include ALL key info: who, what, when, where, why, how, specs, prices, dates.
- Use line breaks between paragraphs.
- Reference additional source links naturally if provided.
- End with: 'Source: <original URL>'
- Add 'Also see: <url1>, <url2>' if additional sources.
- Make it the DEFINITIVE version.
- NEVER write less than one full paragraph.
- **Source Material:** The original post content provided (which is actually quite detailed already, but I need to expand it into 1-3 exciting paragraphs while keeping all details).
- **Key Details from Source:**
- Hugging Face dropped the FFASR Leaderboard
- 30 real-world, far-field ASR tests
- 7 languages
- Noisy and reverberant rooms
- Tested on CPUs through GPU agents
- Varying Whisper versions (v1–2)
- Jina AI Transformer model trained for Hindi
- Ensemble of 6 models including OpenAI Whisper Transcribeie fine-tune
- Latest fineweb/mwikl ASR
- Top 3 overall: Google Chirp (40M param USFM model) at 35.89 WER, Fineweb wiskat at 6.71 WER (English noisy), Whisper Large-v2 at 34.68 WIVR (worst case)
- Chirp trained on 5M hours multilingual audio
- Chirp WER by language: Hindi (17), Chinese (9), French (24), Spanish (36), Malayalam (60)
- Jina AI beats Whisper Large-v3 base by ~8 points in clean setting
- fineweb/mwikl ASR: 25.47 WER noisy, 10.94 WIVR overall, open weights
- Whisper Large-v3 base: 26.8e, 36.39 WIVR all conditions
- Whisper Transcribeie beat base v3 by >4 points on noisy audio
- Compared to VOS-A2 and Kaldi ASR
- Kaldi: 85.90 WIVR overall, slowest at ~64 ms/clip
- Whisper fineweb/mwikl ensemble: 17ms on GPU
- Compared to unoptimized GGUF quant, showed Flash Attention speedups
2. **Check Constraints:**
- 1-3 paragraphs? Yes.
- Each paragraph 4-8 sentences? Need to carefully count.
- Include EVERY detail? Yes, I'll weave them all in.
- Exciting/passionate? Yes, Frank's voice.
- Commentary/opinions? Yes.
- Key info included? Yes.
- Line breaks? Yes.
- End with Source: URL? Yes.
- Also see: if applicable? The prompt says "If additional source links are provided, reference them naturally." The prompt only gives one source URL. I'll stick to just the source URL at the end as instructed.
- Never less than one full paragraph? Checked.
3. **Draft Construction (Mental Refinement - Paragraph by Paragraph):**
*Paragraph 1: Introduction & Setup + Top Performers + Chirp details*
I have been waiting FOREVER for a real-world speech recognition benchmark that actually tests the chaos of everyday listening, and Hugging Face just absolutely nailed it with the brand-new FFASR Leaderboard! Forget those pristine, studio-recorded datasets; this beast runs thirty far-field ASR tests across seven different languages in deliberately noisy and reverberant rooms, pushing everything from standard CPUs all the way up to dedicated GPU agents. We are talking about a massive lineup of models getting put through the wringer, including multiple Whisper iterations from v1 through v2, a specialized Hindi-focused Transformer from Jina AI, a six-model ensemble featuring OpenAI’s Whisper Transcribeie fine-tune, and the absolutely devastating