parakeet
PulseAugur coverage of parakeet — every cluster mentioning parakeet across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Superwhisper releases S1-mini, an open-weights text normalizer for ASR transcripts
Superwhisper has released S1-mini, an open-weights text normalization model designed to clean up raw Automatic Speech Recognition (ASR) transcripts. This 0.6B parameter model, fine-tuned from Qwen/Qwen3-0.6B, removes fi…
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Self-hosting open-source speech-to-text models incurs hidden costs
Self-hosting open-source speech-to-text models like Whisper Large V3, Qwen3 ASR, and NVIDIA's Parakeet and Canary can appear free initially, but the total cost of ownership is significant. Beyond the model weights, user…
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AssemblyAI contrasts its speech AI with NVIDIA's models for production use
AssemblyAI has published a comparison of its speech-to-text models against NVIDIA's Parakeet and Canary, highlighting differences between benchmark and production accuracy. While NVIDIA's models excel on standard benchm…
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Parakeet vs. Whisper: Local dictation models compared for speed and flexibility
A comparison of local speech-to-text models, Parakeet and Whisper, reveals distinct strengths for different use cases. Parakeet excels in speed, offering near-instantaneous transcription on Apple devices like the iPhone…
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Meetily launches as a privacy-first, local AI meeting assistant
Meetily is a new, privacy-focused AI meeting assistant that operates entirely locally on a user's machine. Developed by Zackriya Solutions and released under the MIT license, it offers real-time transcription, speaker i…
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Open-source AI meeting assistant Zackriya-Solutions/meetily gains rapid traction
The open-source AI project Zackriya-Solutions/meetily has seen a significant surge in popularity, gaining over 1,640 stars on GitHub within a 24-hour period. This AI meeting assistant, which emphasizes privacy, is noted…
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Hugging Face and Cerebras enable real-time voice AI with Gemma 4
Hugging Face and Cerebras have collaborated to create a real-time voice AI experience using Gemma 4. This new system integrates Google DeepMind's Gemma 4 VLM with Cerebras's fast inference capabilities and Alibaba's Qwe…
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Together AI claims world's fastest speech-to-text stack
Together AI has developed a speech-to-text system that achieves industry-leading speed. Their 'parakeet' model, running on Together's infrastructure, processes audio at approximately 302 seconds of audio per second of p…
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Together AI's voice agent interacts with screens for code editing
Together AI has demonstrated a voice agent capable of interacting with a user's screen, performing tasks like website design review and code editing. This system integrates speech-to-text, voice processing, and reasonin…
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New methods advance simultaneous speech translation quality and evaluation
Researchers have developed new methods for evaluating and improving simultaneous speech translation systems, particularly for long-form content. One paper introduces a practical evaluation framework that measures senten…
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NVIDIA Parakeet speech-to-text ported to ggml for faster CPU/GPU use
A developer has successfully ported NVIDIA's Parakeet speech-to-text models to the ggml framework, enabling them to run efficiently on CPUs and GPUs without Python or PyTorch. This port achieves byte-for-byte identical …
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ASR models evaluated on Dutch child speech, Whisper-medium leads
A new study published on arXiv evaluates the performance of nine state-of-the-art Automatic Speech Recognition (ASR) models, including Whisper, Parakeet, and Wav2Vec2, on Dutch child speech datasets. The fine-tuned Whis…