Browsing School of Informatics by Title
Now showing items 31-50 of 87
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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). https://doi.org/10.7488/ds/252. ... -
Listening test materials for "A study of speaker adaptation for DNN-based speech synthesis"
The dataset contains the testing stimuli and listeners' MUSHRA test responses for the Interspeech 2015 paper, "A study of speaker adaptation for DNN-based speech synthesis". In this paper, we conduct an experimental analysis ... -
Listening test materials for "A template-based approach for speech synthesis intonation generation using LSTMs"
This data release contains listening test materials associated with the paper "A template-based approach for speech synthesis intonation generation using LSTMs", presented at Interspeech 2016 in San Francisco, USA. -
Listening test materials for "Deep neural network context embeddings for model selection in rich-context HMM synthesis"
These are the listening test materials for "Deep neural network context embeddings for model selection in rich-context HMM synthesis". They include the waveforms played to listeners as well as the listeners' responses. -
Listening test materials for "Deep neural network-guided unit selection synthesis"
These are the listening test materials for "Deep neural network-guided unit selection synthesis". They include the waveforms played to listeners as well as the listeners' responses. -
Listening test materials for "Evaluating comprehension of natural and synthetic conversational speech"
Current speech synthesis methods typically operate on isolated sentences and lack convincing prosody when generating longer segments of speech. Similarly, prevailing TTS evaluation paradigms, such as intelligibility ... -
Listening test materials for "From HMMs to DNNs: Where do the improvements come from?"
This data release contains listening test materials associated with the paper "From HMMs to DNNs: Where do the improvements come from?", presented at ICASSP 2016 in Shanghai, China. -
Listening test materials for "Multiple Feed-forward Deep Neural Networks for Statistical Parametric Speech Synthesis"
In the paper which this data accompanies, we investigate a combination of several feed-forward deep neural networks (DNNs) for a high-quality statistical parametric speech synthesis system. Recently, DNNs have significantly ... -
Listening test materials for "Robust TTS duration modelling using DNNs"
This data release contains listening test materials associated with the paper "Robust TTS duration modelling using DNNs", presented at ICASSP 2016 in Shanghai, China. -
Listening test materials for "Smooth Talking: Articulatory Join Costs for Unit Selection"
This is the listening test data for the experiment presented in the ICASSP 2016 paper "Smooth Talking: Articulatory Join Costs for Unit Selection", which proposes and evaluates computation of unit selection join costs in ... -
Listening test materials for "Waveform generation based on signal reshaping for statistical parametric speech synthesis"
The dataset contains the testing stimuli and listeners' MUSHRA test responses for the Interspeech 2016 paper "Waveform generation based on signal reshaping for statistical parametric speech synthesis". On this paper, we ... -
Listening test results of the Voice Conversion Challenge 2018
This dataset is associated with a paper and a dataset below: (1) Jaime Lorenzo-Trueba, Junichi Yamagishi, Tomoki Toda, Daisuke Saito, Fernando Villavicencio, Tomi Kinnunen, Zhenhua Ling, "The Voice Conversion Challenge ... -
Listening-test materials for "Modern speech synthesis for phonetic sciences: a discussion and an evaluation"
This data release contains listening-test materials associated with the paper "Modern speech synthesis for phonetic sciences: a discussion and an evaluation", presented at ICPhS 2019 in Melbourne, Australia. -
Listening-test materials for "Where do the improvements come from in sequence-to-sequence neural TTS?"
This data release contains listening-test materials associated with the paper "Where do the improvements come from in sequence-to-sequence neural TTS?", presented at SSW10 (the 10th ISCA Speech Synthesis Workshop) in Vienna, ... -
Lothian Buses Full Fleet GPS Traces, 2014 to 2015
These datasets have been collected and provided to us by Lothian Buses. They consist of Automatic Vehicle Location (AVL) data obtained using periodic GPS location measurements. Each data entry consists of a bus identifier, ... -
Macro-socioeconomic-energy Model for Technology Pathways, 7see-GB, 2017
In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ... -
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 ... -
ManySStuBs4J Dataset
The ManySStuBs4J corpus contains simple statement bugs mined from open-source Java projects hosted in GitHub. There are two variations of the dataset. One mined from the 100 Java Maven Projects and one mined from the top ... -
multimodal TRIPOD
The data contain multimodal features extracted for the TRIPOD dataset and used in the AAAI 2021 paper "Movie Summarization via Sparse Graph Construction". The data contain 122 pickle files, each one corresponding to a movie ... -
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 ...
