TLDRocket
Sign in
Latest Meta drops the word "train" from its commercial TOS after AI backlash — Ars Technica Gemini's Personal Intelligence is coming to cars — Ars Technica Dell sees company knowledge, not AI models, as its competitive edge — SiliconANGLE Strengthening our defenses against distillation attacks — Anthropic Partnerships — Anthropic Announcements — Anthropic Dell’s security chief warns AI is lowering the barriers to sophisticat... — SiliconANGLE Google has joined Amazon in attacking Nvidia’s stronghold with AI app... — TechCrunch

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Tuesday, 1 February 2022

Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers

Hugging Face 4 years ago 22

Hugging Face implemented a technique using Wav2Vec2's Connectionist Temporal Classification architecture to enable automatic speech recognition on arbitrarily long audio files by processing overlapping chunks and discarding predictions from the chunk edges. The most popular Wav2Vec2 checkpoint on Hugging Face Hub receives over 250,000 monthly downloads, and users can now process hour-long files by adding a `chunk_length_s` parameter to the pipeline. This approach also enables live speech recognition where transcriptions appear as users speak, without requiring users to wait for the full audio to be processed.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.