From 469ca8a2f654295ccd46c7e4bdc41cae7019ceb5 Mon Sep 17 00:00:00 2001 From: Alexander Veysov Date: Tue, 7 Dec 2021 13:11:13 +0300 Subject: [PATCH] Improve copy --- README.md | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 9dc1775..e8785f9 100644 --- a/README.md +++ b/README.md @@ -29,26 +29,27 @@ https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc- - **High accuracy** - Silero VAD shows an [excellent result](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#vs-other-available-solutions) for speech detection in streaming tasks. + Silero VAD has [excellent results](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#vs-other-available-solutions) on speech detection tasks. + - **Fast** - One audio chunk (30+ ms) [takes](https://github.com/snakers4/silero-vad/wiki/Performance-Metrics#silero-vad-performance-metrics) **1ms** to be processed on a single CPU thread. Using batching and/or GPU one can greatly speed up inference time in production tasks. + One audio chunk (30+ ms) [takes](https://github.com/snakers4/silero-vad/wiki/Performance-Metrics#silero-vad-performance-metrics) around **1ms** to be processed on a single CPU thread. Using batching or GPU can also improve performance considerably. - **Lightweight** - JIT model size is less than one megabyte. + JIT model is less than one megabyte in size. -- **Generalized** +- **General** - Silero VAD was trained on a big corpora that included over **100** languages and performs well on audio of varying backgorund noise levels. + Silero VAD was trained on huge corpora that include over **100** languages and it performs well on audios from different domains with various background noise and quality levels. -- **Variable sampling rate** +- **Flexible sampling rate** - Silero VAD [supports](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#sample-rate-comparison) **8000** and **16000** [sampling rate](https://en.wikipedia.org/wiki/Sampling_(signal_processing)#Sampling_rate) + Silero VAD [supports](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#sample-rate-comparison) **8000 Hz** and **16000 Hz** [sampling rates](https://en.wikipedia.org/wiki/Sampling_(signal_processing)#Sampling_rate). -- **Variable chunk size** +- **Flexible chunk size** - Model was trained on audio chunks of variable lengths. Chunks of length **30 ms**, **60 ms** and **100 ms** are supported directly, other may perform well too. + Model was trained on audio chunks of different lengths. **30 ms**, **60 ms** and **100 ms** long chunks are supported directly, others may work as well.

Typical Use Cases