analyzer.py 文件源码

def read_whole_features(file_pattern, num_epochs=1):
    '''
    Return
        `feature`: `dict` whose keys are `sp`, `ap`, `f0`, `en`, `speaker`
    '''
    files = tf.gfile.Glob(file_pattern)
    print('{} files found'.format(len(files)))
    filename_queue = tf.train.string_input_producer(files, num_epochs=num_epochs)
    reader = tf.WholeFileReader()
    key, value = reader.read(filename_queue)
    print("Processing {}".format(key), flush=True)
    value = tf.decode_raw(value, tf.float32)
    value = tf.reshape(value, [-1, FEAT_DIM])
    return {
        'sp': value[:, :SP_DIM],
        'ap': value[:, SP_DIM : 2*SP_DIM],
        'f0': value[:, SP_DIM * 2],
        'en': value[:, SP_DIM * 2 + 1],
        'speaker': tf.cast(value[:, SP_DIM * 2 + 2], tf.int64),
        'filename': key,
    }