CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks
Table 3: Ten content lexical items from the TIMIT database used for training.
['word', 'IPA', 'data points']
To evaluate how the Generator performs on a higher number of lexical classes, another model was trained on 10 content lexical items from the TIMIT database, each of which is attested at least 600 times in the database.