tensorflow - serializing and reading 2D sequence into/from TFRecords -


i'm trying serialize 2d vector (spectrogram of speech, varied in length) tfrecord.
there example this? have tried code here , here, seem not suit needs.
how serialize 2d (or n-d array) varied in length sequence tfrecords?

my current implementation (no errors, think it's not correct):

    # extract spectrogram wav     rate, wav = wavfile.read(wav_path)     _, __, sxx = spectrogram(wav, fs=rate, nperseg=254, noverlap=127)     spectrogram_feat = np.moveaxis(sxx, 0, -1)  # shift axis [freq, time] -> [time, freq]      # make example     ex = tf.train.sequenceexample()      ex.context.feature['seq_length'].int64_list.value.append(spectrogram_feat.shape[0])     ex.context.feature['n_feature'].int64_list.value.append(spectrogram_feat.shape[1])      fl_spectogram = ex.feature_lists.feature_list['spectrogram']     fl_label = ex.feature_lists.feature_list['label']      in range(spectrogram_feat.shape[0]):         # print(spectrogram_feat[i, :].reshape(1, -1))         f in spectrogram_feat[i, :]:             fl_spectogram.feature.add().float_list.value.append(f)      writer.write(ex.serializetostring()) 


Comments

Popular posts from this blog

php - Vagrant up error - Uncaught Reflection Exception: Class DOMDocument does not exist -

vue.js - Create hooks for automated testing -

Add new key value to json node in java -