138 citations
- Amazon (United States)US6 papers
- University of BristolGB3 papers
- University of OxfordGB3 papers
- Amazon (Germany)DE2 papers
- Universidad Politécnica de MadridES2 papers
- University of AmsterdamNL2 papers
- University of EdinburghGB2 papers
- University of SheffieldGB2 papers
- Aalto UniversityFI1 paper
- Allen InstituteUS1 paper
- Amsterdam University of the ArtsNL1 paper
- Bilkent UniversityTR1 paper
Showing eess.ASShow all
2 papers · 1 filter
eess.AS2022★ 7 cited
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks
Dhananjaya Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri +1
Formant tracking is investigated in this study by using trackers based on dynamic programming (DP) and deep neural nets (DNNs). Using the DP approach, six formant estimation method…
eess.AS2020★ 65 cited
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Sri Karlapati, Alexis Moinet, Arnaud Joly +3
Prosody Transfer (PT) is a technique that aims to use the prosody from a source audio as a reference while synthesising speech. Fine-grained PT aims at capturing prosodic aspects l…