The input to our model are mel-frequency cepstral coefficient (MFCC) audio features (Davis and Mermelstein, 1980) and the output is a sequence of words {y m } M m=1 , each of which is a symbol from the dictionary.
our collection induces the annotators to mainly abide to audio, hence, increasing the dependency of written text on the audio input as can be shown in our survey analysis in Figure 5.