Work

Demo: WhisperFlow: speech foundation models in real time

Year: 2025

Type: conference-paper

Abstract: Speech foundation models, such as OpenAI's Whisper, become the state of the art in speech understanding due to their strong accuracy and generalizability. Yet, their applications are mostly limited to processing pre-recorded speech, whereas processing of streaming speech, in particular doing it efficiently, remains rudimentary.

Source: International Conference on Mobile Systems, Applications, and Services

DOI: 10.1145/3711875.3734370

Authors: Rongxiang Wang, Felix Xiaozhu Lin

Institution: University of Virginia

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: Collaborative Research: CNS Core: Medium: Understanding and Strengthening Memory Security for Non-Volatile Memory, CAREER: A Trustworthy and Verifiable Software Backplane for the Cloud Edge, SPX: Write Once, Run on Anything: Verified, Tuned Accelerator Kernels from High Level Specifications