Deep understanding and modelling of the hierarchical structure of Prosody
Location: France
Source: EU Funding & Tenders Portal
The prime objective of the ProsoDeep project is to gain a deeper understanding of the language of prosody through the analysis of all the levels in the production hierarchy of prosody. In particular, it will exploit the benefits of the top-down and bottom-up approaches through their incorporation within a Deep Prosody Model (DPM). The DPM will facilitate the advancement of speech technologies that
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The prime objective of the ProsoDeep project is to gain a deeper understanding of the language of prosody through the analysis of all the levels in the production hierarchy of prosody. In particular, it will exploit the benefits of the top-down and bottom-up approaches through their incorporation within a Deep Prosody Model (DPM). The DPM will facilitate the advancement of speech technologies that rely both on the synthesis of prosody, e.g. text-to-speech (TTS) systems, and its analysis, e.g. speech emotion recognition (SER). To reach this objective the project will draw on a variety of scientific fields, including signal processing, physiology of prosody production and biomechanics, linguistics, and machine learning, and will also be augmented with respiratory measurements. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
