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CMU_ARCTIC Databases
    CMU_ARCTIC report
    US bdl (US male)
    US slt (US female)
    US jmk (Canadian male)
    US awb (Scottish male)
    US rms (US male)
    US clb (US female)
    US ksp (Indian male)

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CMU_ARCTIC speech synthesis databases
The CMU_ARCTIC databases were constructed at the Language Technologies Institute at Carnegie Mellon University as phonetically balanced, US English single speaker databases designed for unit selection speech synthesis research.

A detailed report on the structure and content of the database and the recording environment etc is available as a Carnegie Mellon University, Language Technologies Institute Tech Report CMU-LTI-03-177 and is also available here.

The databases consist of around 1150 utterances carefully selected from out-of-copyright texts from Project Gutenberg. The databses include US English male (bdl) and female (slt) speakers (both experinced voice talent) as well as other accented speakers.

The 1132 sentence prompt list is available from cmuarctic.data

The distributions include 16KHz waveform and simultaneous EGG signals. Full phoentically labelling was perfromed by the CMU Sphinx using the FestVox based labelling scripts. Complete runnable Festival Voices are included with the database distributions, as examples though better voices can be made by improving labelling etc.

CMU ARCTIC Databases

CMU ARCTIC other accents

CMU ARCTIC all 18 datasets

  • All datasets packed
  • do_arctic a script to download and build a full voice from these datbases (assuming FestVox build tools are all installed.

These distibutions include Festival CLUNITS based voices. bdl, slt, jmk and awb HTS based voices are available from available from http://hts.ics.nitech.ac.jp/ using Nagoya Institute of Technology's HTS HMM-based Speech Synthesis System.


This work was partially supported by the U.S. National Science Foundation under Grant No. 0219687, "ITR/CIS Evaluation and Personalization of Synthetic Voices". Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

CMU/LTI This page is maintained by Alan W Black (awb@cs.cmu.edu)
Festvox is a project within LTI at Carnegie Mellon University