wav_read_open 读取之后，通过 librosa::Feature::melspectrogram 得到的结果，和直接使用librosa.load 通过librosa.feature.melspectrogram 得到结果不一样

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wav_read_open 读取之后，通过 librosa::Feature::melspectrogram 得到的结果，和直接使用librosa.load 通过librosa.feature.melspectrogram 得到结果不一样

void* h_x = wav_read_open("E:\wav\aa.wav"); int format, channels, sr, bits_per_sample; unsigned int data_length; int res = wav_get_header(h_x, &format, &channels, &sr, &bits_per_sample, &data_length);

int samples = data_length * 8 / bits_per_sample /channels ; std::vector<int16_t> tmp(samples); res = wav_read_data(h_x, reinterpret_cast<unsigned char*>(tmp.data()), data_length / channels);

td::vector<std::vector> mels = librosa::Feature::melspectrogram(x, sr, n_fft, n_hop, "hann", true, "reflect", 2.f, n_mel, fmin, fmax);

double sums = 0; float maxi = -INT_MAX, mini = INT_MAX; for (auto &arr : mels) { for (auto k : arr) { sums += k; maxi = max(maxi, k); mini = min(mini, k); } } cout << "sums: " << sums << "\n"; cout << "mini: " << mini << "\n"; cout << "maxi: " << maxi << "\n";

python： wav, sr_ret = librosa.load(audio_path, sr=None)

features = librosa.feature.melspectrogram(y=wav, sr=sr, n_fft=2048, n_mels=80, hop_length=160, win_length=400,pad_mode='reflect',htk=False) print(features) print(features.shape) print('sum: ', features.sum()) print('min: ', features.min()) print('max: ', features.max())