From db45d5da46df56567e07627410e7f752a604bc0c Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 27 Jul 2022 17:35:29 +0800 Subject: [PATCH] Update README Signed-off-by: Jael Gu --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 455c064..c186644 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ Each vector represents for an audio clip with a fixed length of around 1s. This operator generates audio embeddings with fingerprinting method introduced by [Neural Audio Fingerprint](https://arxiv.org/abs/2010.11910). The model is implemented in Pytorch. We've also trained the nnfp model with [FMA dataset](https://github.com/mdeff/fma) (& some noise audio) and shared weights in this operator. -The nnfp operator is suitable to generate audio fingerprints. +The nnfp operator is suitable for audio fingerprinting.
@@ -84,7 +84,7 @@ An audio embedding operator generates vectors in numpy.ndarray given towhee audi *data: List[towhee.types.audio_frame.AudioFrame]* Input audio data is a list of towhee audio frames. -The input data should represent for an audio longer than 1s. +The audio input should be at least 1s. **Returns**: