From 1a9327620840c6c949f7db0700fc49bfe6301f77 Mon Sep 17 00:00:00 2001 From: adamnsandle Date: Fri, 10 Dec 2021 10:07:38 +0000 Subject: [PATCH] fx example --- examples/colab_record_example.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/colab_record_example.ipynb b/examples/colab_record_example.ipynb index 7658770..1f425d4 100644 --- a/examples/colab_record_example.ipynb +++ b/examples/colab_record_example.ipynb @@ -141,7 +141,7 @@ " fig = plt.figure(figsize=(16, 9))\n", " ax = plt.axes(xlim=(0, audio_duration), ylim=(0, 1.02))\n", " line, = ax.plot([], [], lw=2)\n", - " x = [i / 16000 * 1536 for i in range(len(probs))]\n", + " x = [i / 16000 * 512 for i in range(len(probs))]\n", " plt.xlabel('Time, seconds', fontsize=16)\n", " plt.ylabel('Speech Probability', fontsize=16)\n", "\n", @@ -152,7 +152,7 @@ " return line,\n", "\n", " def animate(i):\n", - " x = i * interval / 1000 - 0.1\n", + " x = i * interval / 1000 - 0.04\n", " y = np.linspace(0, 1.02, 2)\n", " \n", " line.set_data(x, y)\n", @@ -177,7 +177,7 @@ "\n", " print('Calculating probabilities...')\n", " speech_probs = []\n", - " window_size_samples = 1536\n", + " window_size_samples = 512\n", " for i in range(0, len(tensor), window_size_samples):\n", " if len(tensor[i: i+ window_size_samples]) < window_size_samples:\n", " break\n",