Paper Info
Title
From Text To Formants - Indirect Model For Trajectory Prediction Based On A Multi-Speaker Parallel Speech Database
Abstract
An indirect model is presented, capable of estimating formant trajectories from text only (Text-to-Formants, TTF). The result is a phonetically correct formant trajectory flow of any virtual speech signal, i.e. one that has never been uttered. The focus is on the pattern forms inside the given sound, taking into account the sound environment (up to quinphone), and not on individual formant value measurements. The model is based on a multi-speaker parallel speech database with precise manual corrections and a HMM-based formant trajectory predictor. The validation of the TTF model shows that formant trajectories can be predicted with good accuracy from text. The model indirectly gives information about a theoretically possible articulation flow of the sentence. Thus it gives a general 'formantprint' of the language.
Year
Venue
Keywords
2015
16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5
formant trajectory prediction, HMM, reference formant database, sentence pattern, multi-speaker, parallel
Field
DocType
Citations 
Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Hidden Markov model,Formant,Sentence,Database,Trajectory
Conference
0
PageRank 
References 
Authors
0.34
6
4
Name
Order
Citations
PageRank
Kálmán Abari161.61
Tamás Gábor Csapó2358.80
Bálint Tóth3102.31
Gábor Olaszy45013.40