T. Heeb, A. Stanford-Jason, and T. Leidi, “Design and Implementation of a Low-Latency, Lightweight, High-Performance Voice Interface Front-End,” in Proc. AES Convention 140, May 2016, Paper 264. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18168
Heeb T, Stanford-Jason A, Leidi T. Design and Implementation of a Low-Latency, Lightweight, High-Performance Voice Interface Front-End. In: AES Convention 140. Audio Engineering Society; 2016. Paper 264. Available from: https://aes.org/publications/elibrary-page/?id=18168
@inproceedings{Heeb2016_18168,
author = {Heeb, Thierry and Stanford-Jason, Andrew and Leidi, Tiziano},
title = {{Design and Implementation of a Low-Latency, Lightweight, High-Performance Voice Interface Front-End}},
booktitle = {AES Convention 140},
note = {Paper 264},
year = {2016},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18168}
}
TY - CPAPER
TI - Design and Implementation of a Low-Latency, Lightweight, High-Performance Voice Interface Front-End
AU - Heeb, Thierry
AU - Stanford-Jason, Andrew
AU - Leidi, Tiziano
T2 - AES Convention 140
M1 - Paper 264
PY - 2016
DA - 2016/05/06
UR - https://aes.org/publications/elibrary-page/?id=18168
PB - Audio Engineering Society
LA - en
AB - Smart voice interfaces are the enabler of a new generation of consumer products such as network connected, voice enabled personal assistants. These are based on distributed architectures where voice is captured and pre-processed locally before being sent to remote servers for semantic analysis and response generation. A key element to achieve lowest cost and the best natural speech user experience is to keep latency to a minimum. This eBrief presents a lightweight, high-performance voice interface front-end software framework capable of handling multiple PDM microphones and integrating PDM to PCM conversion, high-resolution inter-channel delay, decimation, signal correction, and optional output data framing. The software forms a complete smart voice interface front-end running on the XMOS xCORE-200 architecture and achieving very low latency.
ER -