src/audio2vec_train.py
def TFRQ_feeding(filename_queue, feat_dim, seq_len):
    """ Reads and parse the examples from alignment dataset 
        in TF record format 
    Args: 
      filename_queue: A queue of strings with the filenames to read from 
      feat_dim : feature dimension 
      seq_len : sequence length (padded)

    Returns:
      An object representing a single example
    """
    reader = tf.TFRecordReader()
    _, serialized_example = reader.read(filename_queue)
    
    example = tf.parse_single_example(serialized_example,
        features={
            'feat': tf.FixedLenFeature([seq_len,feat_dim],dtype=tf.float32),
            'label':tf.FixedLenFeature([1],dtype=tf.int64)
        })
    return example['feat'], example['label']
 Reads and parse the examples from alignment dataset 
        in TF record format 
    Args: 
      filename_queue: A queue of strings with the filenames to read from 
      feat_dim : feature dimension 
      seq_len : sequence length (padded)

    Returns:
      An object representing a single example
    
Reads and parse the examples from alignment dataset
in TF record format
Reads and parse the examples from alignment dataset in TF record format
def TFRQ_feeding(filename_queue, feat_dim, seq_len):
    reader = tf.TFRecordReader()
    _, serialized_example = reader.read(filename_queue)
    example = tf.parse_single_example(serialized_example,
        features={
            'feat': tf.FixedLenFeature([seq_len,feat_dim],dtype=tf.float32),
            'label':tf.FixedLenFeature([1],dtype=tf.int64)
        })
    return example['feat'], example['label']
def TFRQ_feeding ( filename_queue , feat_dim , seq_len ) : reader = tf . TFRecordReader ( ) _ , serialized_example = reader . read ( filename_queue ) example = tf . parse_single_example ( serialized_example , features = { 'feat' : tf . FixedLenFeature ( [ seq_len , feat_dim ] , dtype = tf . float32 ) , 'label' : tf . FixedLenFeature ( [ 1 ] , dtype = tf . int64 ) } ) return example [ 'feat' ] , example [ 'label' ]
Reads and parse the examples from alignment dataset
in TF record format
Reads and parse the examples from alignment dataset in TF record format
""" Reads and parse the examples from alignment dataset 
        in TF record format 
    Args: 
      filename_queue: A queue of strings with the filenames to read from 
      feat_dim : feature dimension 
      seq_len : sequence length (padded)

    Returns:
      An object representing a single example
    """
An object representing a single example
An object representing a single example
filename_queue
A queue of strings with the filenames to read from
A queue of strings with the filenames to read from
feat_dim
seq_len
feat_dim 
None
seq_len 
sequence length (padded)
sequence length ( padded )