Centre for Speech Technology Research (CSTR)
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The Centre for Speech Technology Research (CSTR) is an interdisciplinary research centre linking Informatics and Linguistics and English Language .
Founded in 1984, CSTR is concerned with research in all areas of speech technology including speech recognition, speech synthesis, speech signal processing, information access, multimodal interfaces and dialogue systems. We have many collaborations with the wider community of researchers in speech science, language, cognition and machine learning for which Edinburgh is renowned.
Collections in this community
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The Voice Conversion Challenge
Development of speaker conversion systems -
UltraSuite
A repository of ultrasound and acoustic data from child speech therapy sessions -
VCTK
Voice Cloning Toolkit
Recent Submissions
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Parallel Audiobook Corpus
The Parallel Audiobook Corpus (version 1.0) is a collection of parallel readings of audiobooks. The corpus consists of approximately 121 hours of speech at 22.05KHz across 4 books and 59 speakers. The data is provided in ... -
Manual and automatic labels for version 1.0 of UXTD, UXSSD, and UPX core data -- version 1.0
UltraSuite is a repository of ultrasound and acoustic data from child speech therapy sessions. The current release includes three data collections, one from typically developing children (UXTD) and two from children with ... -
The Voice Conversion Challenge 2018: database and results
Voice conversion (VC) is a technique to transform a speaker identity included in a source speech waveform into a different one while preserving linguistic information of the source speech waveform. In 2016, we have ... -
The 2nd Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017) Database, Version 2
This is a database used for the Second Automatic Speaker Verification Spoofing and Countermeasuers Challenge, for short, ASVspoof 2017 (http://www.asvspoof.org) organized by Tomi Kinnunen, Md Sahidullah, Héctor Delgado, ... -
Device Recorded VCTK (Small subset version)
This dataset is a new variant of the voice cloning toolkit (VCTK) dataset: device-recorded VCTK (DR-VCTK), where the high-quality speech signals recorded in a semi-anechoic chamber using professional audio devices are ... -
SUPERSEDED - The 2nd Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017) Database, Version 2
## This item has been replaced by the one which can be found at http://dx.doi.org/10.7488/ds/2332 ## -
SUPERSEDED - The 2nd Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017) Database, Version 2
## This item has been replaced by the one which can be found at http://dx.doi.org/10.7488/ds/2332 ## -
Dutch English Lombard Speech Native and Non-Native (DELNN)
The DELNN (Dutch English Lombard speech Native and Non-Native) corpus consists of 30 native Dutch speakers reading sentences in a quiet environment and in a noisy environment, to elicit Lombard speech. The Dutch speakers ... -
Radboud Lombard Corpus_Dutch
This data set contains 54 (12 for now) native Dutch speakers' Dutch sentence-reading material (48 sentences in natural and 48 sentences in Lombard condition per speaker). -
SUPERSEDED - Device Recorded VCTK (Small subset version)
## This item has been replaced by the one which can be found at http://dx.doi.org/10.7488/ds/2316 ## This dataset is a new variant of the voice cloning toolkit (VCTK) dataset: device-recorded VCTK (DR-VCTK), where the ... -
Noisy reverberant speech database for training speech enhancement algorithms and TTS models
Noisy reverberant speech database. The database was designed to train and test speech enhancement (noise suppression and dereverberation) methods that operate at 48kHz. Clean speech was made reverberant and noisy by ... -
Noisy speech database for training speech enhancement algorithms and TTS models
Clean and noisy parallel speech database. The database was designed to train and test speech enhancement methods that operate at 48kHz. A more detailed description can be found in the papers associated with the database. ... -
SUPERSEDED - The 2nd Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2017) Database
## This item has been replaced by the one which can be found at http://dx.doi.org/10.7488/ds/2332 ## This is a database used for the Second Automatic Speaker Verification Spoofing and Countermeasuers Challenge, for short, ... -
96kHz version of the CSTR VCTK Corpus
This dataset includes 96kHz version of the CSTR VCTK Corpus including speech data uttered by 109 native speakers of English with various accents. The main dataset can be found at http://dx.doi.org/10.7488/ds/1994 (containing ... -
Key files for Spoofing and Anti-Spoofing (SAS) corpus v1.0
These files are complementary to the fileset: Wu et al. (2015). Spoofing and Anti-Spoofing (SAS) corpus v1.0, [dataset]. University of Edinburgh. The Centre for Speech Technology Research (CSTR). http://dx.doi.org/10.7488/ds/252. ... -
Thesis Material - Rasmus Dall
Data released in relation to the PhD thesis of Rasmus Dall. This contains: 1. Thesis pdf. 2. Released parallel corpora of read and spontaneous speech suitable for speech synthesis. 3. Experimental Data to enable ... -
CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit
This CSTR VCTK Corpus (Centre for Speech Technology Voice Cloning Toolkit) includes speech data uttered by 109 native speakers of English with various accents. 96kHz versions of the recordings are available at http://dx. ... -
The SIWIS French Speech Synthesis Database
The SIWIS French Speech Synthesis Database includes high quality French speech recordings and associated text files, aimed at building TTS systems, investigate multiple styles, and emphasis. A total of 9750 utterances from ... -
The Voice Conversion Challenge 2016
The Voice Conversion Challenge (VCC) 2016, one of the special sessions at Interspeech 2016, deals with speaker identity conversion, referred as Voice Conversion (VC). The task of the challenge was speaker conversion, i.e., ... -
The Voice Conversion Challenge, 2016: multidimensional scaling (MDS) listening test results
The Voice Conversion Challenge (VCC) 2016, one of the special sessions at Interspeech 2016, deals with speaker identity conversion, referred as Voice Conversion (VC). The task of the challenge was speaker conversion, i.e., ...
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