From the 1 of 5 linked papers with an AI index.
4 citations · 4 across the 2 of their papers we have counts for
5 papers
On Thread Convergence
Vinod Grover, Manjunath Kudlur
The paper defines a notion of convergence for nodes and edges in a control‑flow graph to determine when a barrier will reliably synchronize all threads in a GPU thread block, and p…
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
Colby Banbury, Emil Njor, Andrea Mattia Garavagno +7
Tiny machine learning (TinyML) co-locates models with sensors on microcontrollers, where small models (which are disproportionately sensitive to label noise) and bespoke binary tas…
Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
Manjunath Kudlur, Evan King, James Wang +1
Latency-critical speech applications (e.g., live transcription, voice commands, and real-time translation) demand low time-to-first-token (TTFT) and high transcription accuracy, pa…
Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
Evan King, Adam Sabra, Manjunath Kudlur +2
We present the Flavors of Moonshine, a suite of tiny automatic speech recognition (ASR) models specialized for a range of underrepresented languages. Prevailing wisdom suggests tha…
Moonshine: Speech Recognition for Live Transcription and Voice Commands
Nat Jeffries, Evan King, Manjunath Kudlur +3
This paper introduces Moonshine, a family of speech recognition models optimized for live transcription and voice command processing. Moonshine is based on an encoder-decoder trans…