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Aryal et al., 2015 - Google Patents

Articulatory-based conversion of foreign accents with deep neural networks

Aryal et al., 2015

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Document ID
15227860007275827592
Author
Aryal S
Gutierrez-Osuna R
Publication year
Publication venue
Sixteenth Annual Conference of the International Speech Communication Association

External Links

Snippet

We present an articulatory-based method for real-time accent conversion using deep neural networks (DNN). The approach consists of two steps. First, we train a DNN articulatory synthesizer for the non-native speaker that estimates acoustics from contextualized …
Continue reading at psi.engr.tamu.edu (PDF) (other versions)

Classifications

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    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/003—Changing voice quality, e.g. pitch or formants
    • G10L21/007—Changing voice quality, e.g. pitch or formants characterised by the process used
    • G10L21/013—Adapting to target pitch
    • G10L2021/0135—Voice conversion or morphing
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
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    • G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
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    • G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis

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