add app.py

app.py

@@ -0,0 +1,83 @@
+"""
+This code is for testing and demonstration.
+Source code for credit: https://huggingface.co/spaces/nithinraok/titanet-speaker-verification/blob/main/app.py
+"""
+
+import gradio as gr
+import torch
+from nemo.collections.asr.models import EncDecSpeakerLabelModel
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model_name = "nvidia/speakerverification_en_titanet_large"
+model = EncDecSpeakerLabelModel.from_pretrained(model_name).to(device)
+
+def compare(path1, path2):
+    if not (path1 and path2):
+        raise gr.Error("Need recordings from both speakers!")
+
+    embs1 = model.get_embedding(path1).squeeze()
+    embs2 = model.get_embedding(path2).squeeze()
+    
+    #Length Normalize
+    X = embs1 / torch.linalg.norm(embs1)
+    Y = embs2 / torch.linalg.norm(embs2)
+    
+    # Score
+    similarity_score = torch.dot(X, Y) / ((torch.dot(X, X) * torch.dot(Y, Y)) ** 0.5)
+    similarity_score = (similarity_score + 1) / 2
+    
+    # # Decision
+    # if similarity_score >= THRESHOLD:
+    #     return OUTPUT_OK.format(similarity_score * 100)
+    # else:
+    #     return OUTPUT_FAIL.format(similarity_score * 100)
+    return "{:.4f}".format(similarity_score.item())
+
+
+inputs = [
+    gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Speaker #1"),
+    gr.inputs.Audio(source="microphone", type="filepath", optional=True, label="Speaker #2"),
+]
+
+upload_inputs = [
+    gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Speaker #1"),
+    gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Speaker #2"),
+]
+
+description = (
+    "The purpose of this demo is to show how VoID could work with speech embeddings rather than mel spectograms.\n"
+    "This demonstration will analyze two recordings of speech and ascertain whether they have been spoken by the same individual.\n"
+    "You can attempt this exercise using your own voice."
+)
+
+title="VoID with TitaNet Embeddings"
+
+microphone_interface = gr.Interface(
+    fn=compare,
+    inputs=inputs,
+    outputs="text",
+    title=title,
+    description=description,
+    layout="horizontal",
+    theme="huggingface",
+    allow_flagging=False,
+    live=False,
+    # examples=examples,
+)
+
+upload_interface = gr.Interface(
+    fn=compare,
+    inputs=upload_inputs,
+    outputs="text",
+    title=title,
+    description=description,
+    layout="horizontal",
+    theme="huggingface",
+    allow_flagging=False,
+    live=False,
+    # examples=examples,
+)
+
+demo = gr.TabbedInterface([microphone_interface, upload_interface], ["Microphone", "Upload File"])
+
+demo.launch()

requirements.txt

@@ -0,0 +1,334 @@
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