Edinburgh DataShare
Edinburgh DataShare
INFORMATION SERVICES
Contact Us
Browsing NST (Natural Speech Technology) by Submit Accessioned 
  •   Edinburgh DataShare
  • College of Science & Engineering
  • School of Informatics
  • Centre for Speech Technology Research (CSTR)
  • NST (Natural Speech Technology)
  • Browsing NST (Natural Speech Technology) by Submit Accessioned
  •   Edinburgh DataShare
  • College of Science & Engineering
  • School of Informatics
  • Centre for Speech Technology Research (CSTR)
  • NST (Natural Speech Technology)
  • Browsing NST (Natural Speech Technology) by Submit Accessioned
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browsing NST (Natural Speech Technology) by Date Accessioned

Sort by:

Order:

Results:

Now showing items 1-18 of 18

  • title
  • date available
  • date accessioned
  • ascending
  • descending
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
    • Thumbnail

      Artificial Personality 

      Wester, Mirjam; Aylett, Matthew; Tomalin, Marcus; Dall, Rasmus
      This dataset is associated with the paper “Artificial Personality and Disfluency” by Mirjam Wester, Matthew Aylett, Marcus Tomalin and Rasmus Dall published at Interspeech 2015, Dresden. The focus of this paper is ...
    • Thumbnail

      Listening test materials for "Deep neural network context embeddings for model selection in rich-context HMM synthesis" 

      Merritt, Thomas
      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.
    • Thumbnail

      Superseded - Human vs Machine Spoofing 

      Wu, Zhizheng; Yamagishi, Junichi; Wester, Mirjam
      This Item has been replaced. Please see Wester, M; Wu, Z; Yamagishi, J. (2015). Human vs Machine Spoofing, [dataset]. University of Edinburgh. https://doi.org/10.7488/ds/258.
    • Thumbnail

      Human vs Machine Spoofing 

      Wester, Mirjam; Wu, Zhizheng; Yamagishi, Junichi
      Listening test materials for "Human vs Machine Spoofing Detection on Wideband and Narrowband data." They include lists of the speech material selected from the SAS spoofing database and the listeners' responses. The main ...
    • Thumbnail

      Listening test materials for "A study of speaker adaptation for DNN-based speech synthesis" 

      Wu, Zhizheng
      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 ...
    • Thumbnail

      Experiment materials for "The temporal delay hypothesis: Natural, vocoded and synthetic speech." 

      Corley, Martin; Dall, Rasmus; Wester, Mirjam
      Including disfluencies in synthetic speech is being explored as a way of making synthetic speech sound more natural and conversational. How to measure whether the resulting speech is actually more natural, however, is not ...
    • Thumbnail

      Experiment materials for "Disfluencies in change detection in natural, vocoded and synthetic speech." 

      Dall, Rasmus; Wester, Mirjam; Corley, Martin
      The current dataset is associated with the DiSS paper "Disfluencies in change detection in natural, vocoded and synthetic speech." In this paper we investigate the effect of filled pauses, a discourse marker and silent ...
    • Thumbnail

      Listening test materials for "Multiple Feed-forward Deep Neural Networks for Statistical Parametric Speech Synthesis" 

      Yamagishi, Junichi
      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 ...
    • Thumbnail

      Listening test materials for "Deep neural network-guided unit selection synthesis" 

      Merritt, Thomas; Clark, Robert; Wu, Zhizheng; Yamagishi, Junichi; King, Simon
      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.
    • Thumbnail

      Experiment materials for "Testing the consistency assumption: pronunciation variant forced alignment in read and spontaneous speech synthesis" 

      Dall, Rasmus
      The matlab scripts are used to analyse the results files in the results folder. The Test_Wavs are the wavfiles used for the listening test divided by group and the pre-test test files.
    • Thumbnail

      Listening test materials for "Smooth Talking: Articulatory Join Costs for Unit Selection" 

      Richmond, Korin; King, Simon
      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 ...
    • Thumbnail

      Listening test materials for "From HMMs to DNNs: Where do the improvements come from?" 

      Watts, Oliver; Henter, Gustav Eje; Merritt, Thomas; Wu, Zhizheng; King, Simon
      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.
    • Thumbnail

      Listening test materials for "Robust TTS duration modelling using DNNs" 

      Henter, Gustav Eje; Ronanki, Srikanth; Watts, Oliver; Wester, Mirjam; Wu, Zhizheng; King, Simon
      This data release contains listening test materials associated with the paper "Robust TTS duration modelling using DNNs", presented at ICASSP 2016 in Shanghai, China.
    • Thumbnail

      Listening test materials for "Evaluating comprehension of natural and synthetic conversational speech" 

      Wester, Mirjam; Watts, Oliver; Henter, Gustav Eje
      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 ...
    • Thumbnail

      ## SUPERSEDED: THIS DATASET HAS BEEN REPLACED. ## Noisy speech database for training speech enhancement algorithms and TTS models 

      Valentini-Botinhao, Cassia
      ## SUPERSEDED: THIS DATASET HAS BEEN REPLACED by the one which can be found at https://doi.org/10.7488/ds/2117. ## Clean and noisy parallel speech database. The database was designed to train and test speech enhancement ...
    • Thumbnail

      Listening test materials for "Waveform generation based on signal reshaping for statistical parametric speech synthesis" 

      Espic, Felipe; Valentini-Botinhao, Cassia; Wu, Zhizheng; King, Simon
      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 ...
    • Thumbnail

      Listening test materials for "A template-based approach for speech synthesis intonation generation using LSTMs" 

      Ronanki, Srikanth; Henter, Gustav Eje; Wu, Zhizheng; King, Simon
      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.
    • Thumbnail

      CSTR NAM TIMIT Plus 

      Yamagishi, Junichi; Brown, Georgina; Yang, ChenYu; Clark, Rob; King, Simon
      CSTR NAM TIMIT Plus (Version 0.8) RELEASE May 2012 The Centre for Speech Technology Research University of Edinburgh Copyright (c) 2012 Junichi Yamagishi jyamagis@inf.ed.ac.uk Overview This CSTR NAM TIMIT Plus corpus ...
       

       

      Browse

      Edinburgh DataShareResearch CommunitiesTitlesDate AccessionedThis CollectionTitlesDate Accessioned

      My Account

      LoginRegister
       

       

      THE UNIVERSITY OF EDINBURGH
      dsa_logo
      • Accessibility
      • Cookies
      • DataShare Privacy Notice
      • Contact Us
      • Service level definition
      • Freedom of information
      The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.