From 5f8ad4c64b26960dad6b1399deae5f9a0a4aade2 Mon Sep 17 00:00:00 2001
From: Enno Hermann <enno.hermann@idiap.ch>
Date: Fri, 29 Nov 2024 17:23:30 +0100
Subject: [PATCH] test(openvoice): add sanity check

---
 tests/vc_tests/test_openvoice.py | 42 ++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 tests/vc_tests/test_openvoice.py

diff --git a/tests/vc_tests/test_openvoice.py b/tests/vc_tests/test_openvoice.py
new file mode 100644
index 00000000..c9f7ae39
--- /dev/null
+++ b/tests/vc_tests/test_openvoice.py
@@ -0,0 +1,42 @@
+import os
+import unittest
+
+import torch
+
+from tests import get_tests_input_path
+from TTS.vc.models.openvoice import OpenVoice, OpenVoiceConfig
+
+torch.manual_seed(1)
+use_cuda = torch.cuda.is_available()
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+
+c = OpenVoiceConfig()
+
+WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
+
+
+class TestOpenVoice(unittest.TestCase):
+
+    @staticmethod
+    def _create_inputs_inference():
+        source_wav = torch.rand(16100)
+        target_wav = torch.rand(16000)
+        return source_wav, target_wav
+
+    def test_load_audio(self):
+        config = OpenVoiceConfig()
+        model = OpenVoice(config).to(device)
+        wav = model.load_audio(WAV_FILE)
+        wav2 = model.load_audio(wav)
+        assert all(torch.isclose(wav, wav2))
+
+    def test_voice_conversion(self):
+        config = OpenVoiceConfig()
+        model = OpenVoice(config).to(device)
+        model.eval()
+
+        source_wav, target_wav = self._create_inputs_inference()
+        output_wav = model.voice_conversion(source_wav, target_wav)
+        assert (
+            output_wav.shape[0] == source_wav.shape[0] - source_wav.shape[0] % config.audio.hop_length
+        ), f"{output_wav.shape} != {source_wav.shape}"