{"type":"ScholarlyArticle","title":"Learning Phonetic Features Using Connectionist Networks","authors":[{"name":"Raymond L. Watrous","slug":"raymond-l-watrous","given":"Raymond L.","family":"Watrous","affiliation":""},{"name":"Lokendra Shastri","slug":"lokendra-shastri","given":"Lokendra","family":"Shastri","affiliation":""}],"abstract":"A method for learning phonetic features from speech data using connectionist networks is described. A temporal flow model is introduced in which sampled speech data flows through a parallel network from input to output units. The network uses hidden units with recurrent links to capture spectral/temporal characteristics of phonetic features . A supervised learning algorithm is presented which performs gradient descent in weight space using a coarse approximation of the desired output as an evaluation function. A simple connectionist network with recurrent links was trained on a single instance of the word pair \"no\" and \"go\", and successful learned a discriminatory mechanism. The trained network also correctly discriminated 98% of 25 other tokens of each word by the same speaker. A single integrated spectral feature was formed without segmentation of the input, and without a direct compariJon of the two item.","doi":null,"url":"https://ijcai.org/proceedings/1987/179","pdf":"https://ijcai.org/proceedings/1987/0179.pdf","markdown":"https://ijcai.org/proceedings/1987/179.md","bibtex":"https://ijcai.org/proceedings/1987/bibtex/179","volume":{"slug":"1987","title":"Proceedings of the Tenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1987","url":"https://ijcai.org/proceedings/1987/","year":1987,"location":"Milan, Italy","dates":"","editors":"John McDermott","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Perception","track":"Perception","number":179,"pages":{"first":851,"last":853},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}