Seconds

Author: 8bitmp3

site/en/tutorials/audio/transfer_learning_audio.ipynb

@@ -132,7 +132,7 @@
         "\n",
         "[YAMNet](https://github.com/tensorflow/models/tree/master/research/audioset/yamnet) is a pre-trained neural network that employs the [MobileNetV1](https://arxiv.org/abs/1704.04861) depthwise-separable convolution architecture. It can use an audio waveform as input and make independent predictions for each of the 521 audio events from the [AudioSet](http://g.co/audioset) corpus.\n",
         "\n",
-        "Internally, the model extracts \"frames\" from the audio signal and processes batches of these frames. This version of the model uses frames that are 0.96 second long and extracts one frame every 0.48 second.\n",
+        "Internally, the model extracts \"frames\" from the audio signal and processes batches of these frames. This version of the model uses frames that are 0.96 second long and extracts one frame every 0.48 seconds .\n",
         "\n",
         "The model accepts a 1-D float32 Tensor or NumPy array containing a waveform of arbitrary length, represented as single-channel (mono) 16 kHz samples in the range `[-1.0, +1.0]`. This tutorial contains code to help you convert WAV files into the supported format.\n",
         "\n",