Silero VAD
PulseAugur coverage of Silero VAD — every cluster mentioning Silero VAD across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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audio.cpp framework offers faster audio model inference
A new C++ inference framework called audio.cpp has been developed, built on top of ggml, to run various audio models including TTS, ASR, and voice conversion. The framework aims to consolidate multiple audio models into…
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Offline voice loop for local AI models runs entirely on CPU
A developer has created a fully offline voice interaction loop for local AI models, utilizing only CPU resources and ensuring all data remains on the user's machine. This system integrates Silero VAD for voice activity …
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Local ASR router uses specialized models for real-time multilingual transcription
A researcher at Gladia has developed a novel approach to real-time multilingual automatic speech recognition (ASR) that runs on local hardware. Instead of using a single, large model, the system employs a router that di…
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New research tackles multilingual ASR challenges with novel approaches
Researchers are exploring new methods for multilingual Automatic Speech Recognition (ASR), particularly for code-switching scenarios where multiple languages are used within a single conversation. One paper investigates…
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Hugging Face enables fully local Reachy Mini conversations
Hugging Face has released a guide detailing how to set up a fully local speech-to-speech conversation pipeline for the Reachy Mini robot. This setup utilizes a cascaded approach with recommended components like llama.cp…
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WhisperPipe architecture slashes ASR latency and memory use for real-time applications
Researchers have developed WhisperPipe, a new streaming architecture designed to improve real-time automatic speech recognition (ASR) performance. This architecture addresses the trade-off between accuracy and computati…