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Release v1.1
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@ -4,7 +4,7 @@ cmake_minimum_required(VERSION 3.8 FATAL_ERROR)
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project(kaldifeat)
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project(kaldifeat)
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set(kaldifeat_VERSION "1.0")
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set(kaldifeat_VERSION "1.1")
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set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
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@ -32,8 +32,8 @@ def read_wave(filename) -> torch.Tensor:
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def test_fbank():
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def test_fbank():
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device = torch.device("cpu")
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device = torch.device("cpu")
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if torch.cuda.is_available():
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# if torch.cuda.is_available():
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device = torch.device("cuda", 0)
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# device = torch.device("cuda", 0)
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wave0 = read_wave("test_data/test.wav")
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wave0 = read_wave("test_data/test.wav")
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wave1 = read_wave("test_data/test2.wav")
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wave1 = read_wave("test_data/test2.wav")
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@ -61,8 +61,8 @@ def test_fbank():
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# To compute fbank features for only a specified frame
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# To compute fbank features for only a specified frame
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audio_frames = fbank.convert_samples_to_frames(wave0)
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audio_frames = fbank.convert_samples_to_frames(wave0)
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feature_frame_1 = fbank.compute(audio_frames[1])
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feature_frame_1 = fbank.compute(audio_frames[1:2])
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feature_frame_10 = fbank.compute(audio_frames[10])
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feature_frame_10 = fbank.compute(audio_frames[10:11])
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assert torch.allclose(features0[1], feature_frame_1)
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assert torch.allclose(features0[1], feature_frame_1)
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assert torch.allclose(features0[10], feature_frame_10)
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assert torch.allclose(features0[10], feature_frame_10)
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