sherpa-ncnn is an open-source real-time speech recognition toolkit developed
by the Next-gen Kaldi team. It supports streaming recognition on a variety of
platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.
It does not require Internet connection during recognition.
See the documentation https://k2-fsa.github.io/sherpa/ncnn/index.html
for details.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
dotnet add package org.k2fsa.sherpa.ncnn
Adoption
All-time downloads
28.6K
Observeddownloads, all time
Popularity
Lower half on NuGet
Derived8th percentile within NuGet
Dependents
—Not published by NuGet
Not published
Maintenance
0.35
DerivedRelease cadence and recency, 0 to 1
Releases per year
11
26 versions over its life
Growth by period
Derived by Crest of Tech from two observations of NuGet’s own figure, a period apart. Nothing is stored or estimated: without an observation near the period’s start, the period is still collecting.
7 days
Collectinghistory
Collecting
30 days
Collectinghistory
Collecting
90 days
Collectinghistory
Collecting
1 year
Collectinghistory
Collecting
Adoption history
Adoption historydownloads, all time
Observations in this range began OCT 6, 2026. The chart appears after 7 observations; 2 so far. Collecting history.
Real-time speech recognition and voice activity detection (VAD) using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Linux, macOS, Windows, Raspberry Pi, VisionFive2, LicheePi4A etc.
