speaker encoder implementation

speaker_encoder/visual.py

@@ -0,0 +1,40 @@
+import umap
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+
+matplotlib.use('Agg')
+
+
+colormap = np.array([
+    [76, 255, 0],
+    [0, 127, 70],
+    [255, 0, 0],
+    [255, 217, 38],
+    [0, 135, 255],
+    [165, 0, 165],
+    [255, 167, 255],
+    [0, 255, 255],
+    [255, 96, 38],
+    [142, 76, 0],
+    [33, 0, 127],
+    [0, 0, 0],
+    [183, 183, 183],
+], dtype=np.float) / 255 
+
+
+def plot_embeddings(embeddings, num_utter_per_speaker):
+    embeddings = embeddings[:10*num_utter_per_speaker]
+    model = umap.UMAP()
+    projection = model.fit_transform(embeddings)
+    num_speakers = embeddings.shape[0] // num_utter_per_speaker
+    ground_truth = np.repeat(np.arange(num_speakers), num_utter_per_speaker)
+    colors = [colormap[i] for i in ground_truth]
+
+    fig, ax = plt.subplots(figsize=(16, 10))
+    im = ax.scatter(projection[:, 0], projection[:, 1], c=colors)
+    plt.gca().set_aspect("equal", "datalim")
+    plt.title("UMAP projection")
+    plt.tight_layout()
+    plt.savefig("umap")
+    return fig