The EMU Speech Database System

EMU is a collection of software tools for the creation, manipulation and analysis of speech databases. At the core of EMU is a database search engine which allows the researcher to find various speech segments based on the sequential and hierarchical structure of the utterances in which they occur. EMU includes an interactive labeller which can display spectrograms and other speech waveforms, and which allows the creation of hierarchical, as well as sequential, labels for a speech utterance.

Emu/R Release 4.2, November 2009

Emu/R 4.2 released. See

Emu Release 2.3, November 2009

Emu 2.3 is released. See

Downloads

Binary packages of Emu 2.3 are available for:

Linux: x86 v. 2.3
Mac OS X: 10.4 and above v. 2.3
Windows: XP, Vista, 7 v. 2.3

Note: this release works best with .


All Emu downloads are available via the .

EMU 2.3 Release, November 2009

RELEASE NOTES Version 2.3 Bug fixes and asked features added. See http://sourceforge.net/projects/emu/support closed Bugs and Feature Requests. Some selected modifications are listed below:

    • Emu Segmenter 3.0 added
      • There is an Linux release : the Linux PROBLEM fixed
        • Labeller: y-axis improved: better / faster / loop less calculation of best font size for y - axis label
          • Bugfixes:
            • #2884691 - Could not open Emu utterance in Praat on Win
            • #2871171 - Trackdata not displayed in Emu 2.2.4
            • #2855153 - Graphical Template Editor freezes after save button ...
            • #2864004 - Problem saving labels using Write Emulabels in Praat on Os X-with special thanks to Stagea Sam
            • #2894356 - delete label in signal view - caused by too much bindings on one mouse button
            • #2900431 - no prompt to save on exit after del in SignalView
            • #2895027 - Simple trackdata can now be written to files.Simple trackdata creation (no seg number, no time in output, but do handle "cut" parameter). .. counter removed in gettrack. Messes up the R prompt in Linux
            • unreported: modify fm data - expected integer but got "3309.8591549295775"
            • unreported: "can not open emu-conf file" - Emu creates the emu-conf path if not exists

          Installation and Usage

          1. Emu
            1. Download the latest release of the Emu Speech Database System from the section
            2. Install the Emu speech database system by executing the downloaded file and following the on-screen instructions.
              • Windows:Press double left-mouse button on the setup file.
              • Linux:
                • Change to the directory where you saved the installer.
                • Make the file executable: $ chmod +x Emu-2.3-Linux-x86-Install
                • To install: $ ./Emu-2.3-Linux-x86-Install
                • To install systemwide: $ sudo ./Emu-2.3-Linux-x86-Install
              • Mac OS: Press double left-mouse button on the setup file.
                • Mac OS X > 10.4: open Terminal and type: chmod a+rx /Library/Emu
          2. Getting started with Emu
            1. Start the Emu speech database tool.
              • Windows: choose Emu Speech Database System -> Emu from the Start Menu.
              • Linux: choose Emu Speech Database System from the applications menu or type Emu in the terminal window.
              • Mac OS X: start Emu in the Applications folder.
            2. Watch the to see what you can do.

          Troubleshooting

          This software is likely to contain bugs. If you think you have encountered a bug, please don't hesitate to consult our Bug Tracking System and eventually report your problem.

          Patches

          Download patches from: Emu's Sourceforge patch collection

          A patch fixes problems of the current version of the software. All patches will be included in the next software release. Please make sure that you install patches in the right chronological order. It might be, that some files are part of more than one patch. In this case, the lastest version includes earlier fixes already.

          Source Distribution

          The source distribution is a snapshot of the Emu sources at the release date. The source should build easily on Linux with and should build on Solaris as long as a recent gcc and Gnu make are available. It may also build on other flavours of Unix but has only been tested on these two platforms. Instructions for compilation are in the README file within the distribution.

          In addition to the above released sources, the latest version of the source via anonymous CVS is available from the . Please note that the CVS version may not compile in all configurations.

          A number of packages needed to build a full EMU system are version Version 8.5 of and the latest versions (CVS snapshots) of libassp and tclassp, both found at libassp Emu also requires the Tcl standard library (tcllib), tklib the Bwidgets Tcl library, both available via Sourceforge as well as the memchan, tclvfs, trf and tkimg packages. All these packages are also available via Active Tcl.

          Library Emu in the Software package R

          The Emu-R library is a collection of programs running within the R programming language for the analysis of any speech database that can be read by the Emu Speech Database System.

          Emu/R 4.2 released

          This release works best with .

          RELEASE NOTES Version 4.2

            • Bug fixes:
              • fixing support for simple trackdata, which cannot be read in by read.trackdata.

            Emu/R 4.1 released

            This release works best with .
            It includes some bug fixes and minor changes to functions as well as improved error messages. Some major changes are listed below:

            • Installation and configuration
              • The Emu package can be installed successfully even there is no emu installation on the system.
              • An emu installation is linked to R using the new function emulink(). This is tried during installation but you can link it on aour own again using emulink().
              • Better information about the tcl and Emu libary paths.
            • emu.track()
              • optimized for faster processing. Some kind of progress bar is added also.
              • takes the segment list argument as character also. For larger segment lists the processing is faster taht way.
              • "cut" argument works now
              • broken for event lists : FIXED
            • trackinfo()
              • updated to use emuR::gettracks from Emu library
            • write.trackdata()
              • writes entries Original_Freq and Trackname to file for spectral data

            Installing Emu/R

            Installation of the Emu functions for R is simple as the package is now hosted by the The Comprehensive R Archive Network.

            1. R
              1. Download the .
              2. Install the R programming language by executing the downloaded file and following the on-screen instructions.
              3. For R > 2.10 on Mac OS download the R tcltk library (tcltk-8.5.5-x11.dmg) from the R download page for OS X in the "tools" subdirectory.
            2. Emu-R
              1. Start up R
              2. Enter install.packages("emu") after the > prompt.
              3. On Mac Os and R >= 2.12, download and install tcltk.dmg from the r-project tool directory.
              4. Enter library(emu) the load the installed package for the session.
              5. Enter emulink() to link the package to the Emu installation and follow the instructions.
                • If emulink() fails for Mac Os, try emulink("/Applications/Emu.app/Contents/lib")

            Alternatively, you can dowload the Emu-R package 4.2 from SourceForge:

            source (Linux): x86 v. 4.2
            source (Mac): 10.4 and above v. 4.2
            Windows: XP, Vista, 7 v. 4.2

            The actual R-CRAN package (4.2) requires >= EMU2.3

            Emu and ToBI

            ToBI is a system for transcribing the intonation patterns of spoken language. ToBI defines a number of annotation levels and the criteria for placing labels on each. These labels include a segmentation into words along with tone labels which mark prosodic events such as prosodic tones and phrase boundary events. ToBI annotations have largely been made using the Unix based Waves+ toolkit from Entropic and the example materials are made available in the ESPS format which is readable only by Waves+ (and by Emu when an ESPS licence is available -- ie. on a Unix platform). This page describes some tools for using ToBI annotation in the Emu system.

            The ToBI training materials available from the Ohio State web site are in the ESPS format. We have converted these files to the SSFF format read by Emu on both Unix and Windows. These files are now available on our server:

            The smaller files consist of only 12 utterances from the database (those beginning with `a').

            These packages contain the original label files (augmented with a dummy label at the start of the word level so that Emu can treat the words as segments rather than events). Two Emu template files are provided, one mimics the traditional ToBI annotation scheme which presents four independant tiers, the other adds domination relations and two additional levels for intonational and intermediate phrases. A script is provided to convert traditional flat ToBI annotations into hierarchical ones. An example hierarchical annotation is shown below.

            emu tobi

            In this scheme, the Tone level is preserved, non-phrasal tones are linked to the word in which they occur and words are grouped into Intonational and Intermediate phrases based on the position of phrase boundary events.

            Pitch Tracking on Windows

            Researchers investigating prosody have relied on ESPS/Waves+ for both labelling and pitch tracking. Emu can manage the labelling role but does not provide a pitch tracker. There are a number of possible pitch trackers that might be of use.

            Fortunately, the ESPS codebase has now been donated to the KTH speech group and is now being integrated into the Snack toolkit. The most recent release of Snack includes the ESPS pitch and formant tracker code and the most recent Emu release contains a simple tool to run these over speech data and produce SSFF formatted data files for your corpus.

            Publications

            2010
            Harrington, J. (2010). The Phonetic Analysis of Speech Corpora. Blackwell.
            Harrington, J. (2010). Acoustic Phonetics. In the revised Edition of Hardcastle W. & Laver J. (Eds.), The Handbook of Phonetic Sciences. Blackwell.
            2006
            Bombien, L., Cassidy, S., Harrington, J., John, T., Palethorpe, S. (2006). Recent Developments in the Emu Speech Database System. Proceedings of the Australian Speech Science and Technology Conference, Auckland, December 2006.
            2003
            Harrington, J., Cassidy, S., John, T. and Scheffers, M. (2003). Building an interface between EMU and Praat: a modular approach to speech database analysis. International Congress of Phonetic Sciences, Barcelona, August 2003. (4 pages).
            2002
            Steve Cassidy, XQuery as an Annotation Query Language: a Use Case Analysis, Proceedings of LREC 2002, Las Palmas, Spain, May 2002.
            2001
            Bird, S. and Harrington, J. (2001). Speech annotation and corpus tools. Speech Communication, 33, 1-4.
            Bird, S. and Harrington, J. (Editors) (2001). Guest Editors for Special Issue on Speech Annotation and Corpora. Speech Communication. Vol. 33, 1-174.
            Cassidy, S. and Harrington, J. (2001). Multi-level annotation in the Emu speech database management system. Speech Communication, 33, 61-77
            2000
            Cassidy, S. and Bird, S. (2000) Querying Databases of Annotated Speech, Proceedings of the Australian Database Conference, Canberra, January 2000.
            Cassidy, S., Welby, P., McGory, J., and Beckman, M. (2000) Testing the Adequacy of Query Languages Against Annotated Spoken Dialog. Proceedings of the Speech Science and Technology Conference, Canberra, December 2000.
            1999
            Cassidy, S. (1999) Compiling Multi-Tiered Speech Databases into the Relational Model: Experiments with the Emu System. In Proceedings of Eurospeech '99, Budapest, September 1999.
            Harrington, J. & Cassidy, S. (1999). Techniques in Speech Acoustics. Kluwer Academic Publishers: Foris, Dordrecht. ISBN: 0-7923-5731-0.
            1997
            Millar, J., Dermody, P., Harrington, J., and Vonwiller, J. (1997). Spoken Language Resources for Australian Speech Technology. Journal Of Electrical and Electronic Engineers Australia, 1, 13-23.
            1996
            Cassidy, S. and Harrington, J. (1996). EMU: an enhanced hierarchical speech database management system. Proceedings of the 6th Australian International Conference on Speech Science and Technology (p. 361-366).
            1994
            Harrington, J. & So, L. (1994). Some design criteria in the annotation of a spoken database of Cantonese. Fifth International Conference on Speech Science and Technology, Perth, Australia. (4 pages).
            Millar, J.B., Vonwiller, J.P., Harrington, J. and Dermody, P.J. (1994). The Australian National Database Of Spoken Language, Proceedings International Conference on Acoustics, Speech and Signal Processing, ICASSP-94, Adelaide, (pp.I97-I100).
            1993
            Harrington, J., Cassidy, S., Fletcher, J. and McVeigh, A. (1993). The mu+ system for corpus-based speech research. Computer Speech & Language, 7, 305-331.
            1992
            Croot, K., Fletcher, J. and Harrington, J. (1992). Phonetic segmentation on the Australian National Database of Spoken Language. Proceedings of the Fourth International Conference on Speech Science and Technology. (p.86-90). Brisbane, Australia.
            McVeigh, A. and Harrington, J. (1992). The mu+ system for speech database analysis. Proceedings of the Fourth International Conference on Speech Science and Technology. (p.548-553). Brisbane, Australia.
            Harrington, J. and McVeigh (1992). Analysing acoustic and articulatory speech data using the mu+ speech database interrogation system. Journal of the Acoustical Society of America, vol. 91, supplement 1. (A).
            Millar, J., Dermody, P., Harrington, J. & Vonwiller, J. (1992). A national cluster of spoken language databases for Australia. Proc. of the Third Australian Int. Conference on Speech Science and Technology. Melbourne, Australia. (4 pages).
            1990
            Millar, J., Dermody, P., Harrington, J. & Vonwiller, J. (1990). A national database of spoken language; concept, design, and implementation. Proc. of the International Conference on Spoken Language Processing (ICSLP-90). Kobe, Japan. (4 pages).
            1988
            Harrington, J. & Watson, G. (1988). Acoustic Phonetics in S. Unpublished m/s Centre for Speech Technology Research, University of Edinburgh.

            Emu and MySQL

            Frequently Asked Questions

            This is a very short list of FAQ. If you have any problem, see the Emu forums especially the Help forum. Your problem might be a software bug. In this case see Emus Bug tracking system.

            How do I get started with the EMU speech database system?

            1. Getting started with Emu
              1. Start the Emu speech database tool.
                • Windows: choose Emu Speech Database System -> Emu from the Start Menu.
                • Linux: choose Emu Speech Database System from the applications menu or type Emu in the terminal window.
                • Mac OS X: start Emu in the Applications folder.
              2. Watch the to see what you can do.

            How can I get access to my existing databases?

            • Define the path(s) to the template file(s) with the Emu-Conf Editor.
              • execute Dbemu
              • open the emu-conf editor from the dbemu file menu
              • add the path to your existing template files
              • save the modifications

            Are there some patches?

            Download patches from: Emu's Sourceforge patch collection

            A patch fixes problems of the current version of the software. All patches will be included in the next software release. Please make sure that you install patches in the right chronological order. It might be, that some files are part of more than one patch. In this case, the lastest version includes earlier fixes already.

            Convert Labels freezes converting Praat TextGrid files

            This problem occurs when the TextGrid file is UTF-16 encoded. Until EMU support UTF-16, change the encoding to UTF-8. Therefore change Praat preferences (open and save TextGrid again) or use a text editor to convert.

            Miscellaneous Information

            We are in the process of transferring additional information from the old website to the new design. Meanwhile please visit the old site:
            Old Emu Site

            Documentations

            Documentations of the Speech Tools of EMU Version 2 are included in the tools by a file menu entry Help or by the context menu below the emu picture.

            For other help see Documentation of EMU 1.7

            Video documentation

            Watch the according to Harrington(2010).

            Harrington, J. (2010). The Phonetic Analysis of Speech Corpora. Blackwell.

            See older video tutorials below.

            How do I install the EMU speech database system?

            1. Emu
              1. Download the latest release of the Emu Speech Database System from the section
              2. Install the Emu speech database system by executing the downloaded file and following the on-screen instructions.
                • Windows:Press double left-mouse button on the setup file.
                • Linux:
                  • Change to the directory where you saved the installer.
                  • Make the file executable: $ chmod +x Emu-2.3-Linux-x86-Install
                  • To install: $ ./Emu-2.3-Linux-x86-Install
                  • To install systemwide: $ sudo ./Emu-2.3-Linux-x86-Install
                • Mac OS: Press double left-mouse button on the setup file.
                  • Mac OS X > 10.4: open Terminal and type: chmod a+rx /Library/Emu
            2. R
              1. Download the .
              2. Install the R programming language by executing the downloaded file and following the on-screen instructions.
              3. For R > 2.10 on Mac OS download the R tcltk library (tcltk-8.5.5-x11.dmg) from the R download page for OS X in the "tools" subdirectory.
            3. Emu-R
              1. Start up R
              2. Enter install.packages("emu") after the > prompt.
              3. On Mac Os and R >= 2.12, download and install tcltk.dmg from the r-project tool directory.
              4. Enter library(emu) the load the installed package for the session.
              5. Enter emulink() to link the package to the Emu installation and follow the instructions.
                • If emulink() fails for Mac Os, try emulink("/Applications/Emu.app/Contents/lib")
            4. Getting started with Emu
              1. Start the Emu speech database tool.
                • Windows: choose Emu Speech Database System -> Emu from the Start Menu.
                • Linux: choose Emu Speech Database System from the applications menu or type Emu in the terminal window.
                • Mac OS X: start Emu in the Applications folder.
              2. Watch the to see what you can do.
            5. Additional software
              1. Praat
                • Download
                • To install Praat follow the instruction at the download page.
              2. Wavesurfer which is included in the Emu setup and installed in these locations:.
                • Windows: EmuXX/bin.
                • Linux: /usr/local/bin; /home/'username'/Emu/bin
                • Mac OS X: /Applications/Emu.app/Contents/bin
            6. Problems
              1. See