We conducted 8 sessions over the course of a month, recording about 500 sentences in each Recording, downsampling and bit rate conversion, we used ProTools HD hardware and software. All recordings were made at 96 kHz sampling frequency and 24 bits per sample, then downsampled to 48 kHz sampling frequency. Although the current release includes only speech data recorded via Sennheiser MKH 800, we may release speech data recorded via other Used three high quality studio microphones: a Neumann u89i (large diaphragm condenser), a Sennheiser MKH 800 (small diaphragm condenser with very wide bandwidth) and aĭPA 4035 (headset-mounted condenser). The Romanian speech synthesis (RSS) corpus was recorded in a hemianechoic chamber (anechoic walls and ceiling floor partially anechoic) at the University of Edinburgh. HMM-based speech synthesis system using a high sampling rate, Speech Communication vol 53, pg. More information on the original TTS system can be found in this article:Īdriana Stan, Junichi YAMAGISHI, Simon KING, Matthew AYLETT, The Romanian Speech Synthesis (RSS) corpus: building a high quality Two of the major results of this project are the SWARA Corpus and the SWARA Front-end processor for Romanian. SWARA is a collaborative project between The Technical University of Cluj-Napoca, SC FORTECH SRL, Iuliu Haţieganu University of Medicine and Pharmacy Cluj-Napoca and Babeş-Bolyai University, Cluj-Napoca.

No 6/2014, which aims at providing a portable, fast and easy to use assistive speech synthesis system for laryngectomized patients,Įnabling them to interact in an almost natural manner with other social participants by using a customised voice.

During this visit the first version of the Romanian TTS system was developed, and it was based on the RSS Database and Cereproc's front-end framework.Ģ) The SWARA Project, funded by the Romanian Ministry of Education under grant agreement PN-II-PT-PCCA-2013-4 This online demo of Romanian text-to-speech systems is a result of two different projects:ġ) The PRODOC Project, funded by the European Social Fund, under grant agreement POSDRU/6/1.5/S/5 which offered a 6 month research scholarship to Adriana Stan at The Centre for Speech Technology Research, University of Edinburgh, UK, under the supervision of prof.

Speech to text software romanian