Re: [AUDITORY] Emotions vocalisations database (Jochem Rieger )

Subject: Re: [AUDITORY] Emotions vocalisations database
From:    Jochem Rieger  <jochem.rieger@xxxxxxxx>
Date:    Thu, 26 Feb 2026 10:13:53 +0100


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GAUDIE is an extensively validated German naturalistic auditory speech 
database with positive, neutral, and negative speech sequences available 
for non-profit academic research purposes. It comprises 37 audio speech 
sequences with a total duration of 92 minutes. The database is described 
in Lingelbach et al 2023


Lingelbach, K., Vukelić, M. & Rieger, J.W. GAUDIE: Development, 
validation, and exploration of a naturalistic German AUDItory Emotional 
database. /Behav Res/ *56*, 2049–2063 (2024). 
https://doi.org/10.3758/s13428-023-02135-z


Best,

     Jochem


On 25.02.26 15:46, Morgan, Shae wrote:
>
> ACHTUNG!Diese E-Mail kommt von Extern! WARNING! This email originated 
> off-campus.
>
> If the stimuli can have speech vs nonverbal or just emotional sounds, 
> there are lots of databases available:
>
> Toronto Emotional Speech Set (Dupuis & Pichora Fuller)
> https://www.kaggle.com/datasets/ejlok1/toronto-emotional-speech-set-tess
> Morgan Emotional Speech Set (Morgan, 2019)
> https://zenodo.org/records/7378320
> Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS; 
> Livingstone and Russo 2018)
> https://zenodo.org/records/1188976
>
>
> They're all different in terms of which variables they code/don't code 
> for. RAVDESS has song and speech, limited sentence variability (2 
> sentence frames), but many talkers and emotional expressions in high 
> and low intensity. MESS has more semantic variability and target words 
> (making it suitable for word and emotion recognition studies, masking, 
> intelligibility, etc.), but fewer talkers (3 female 3 male) recorded 
> at a single intensity for 4 emotion groups. TESS has few talkers, but 
> includes age as a factor, a good number of emotional expressions.
>
> Table 1 in Morgan & LaPaugh (2025) has a summary of commonly used 
> emotional speech databases with citations for each - you can read up 
> on the methods to see which database would suit your needs!
>
> Morgan, S. D., & LaPaugh, B. (2025). Methodological Stimulus 
> Considerations for Auditory Emotion Recognition Test Design. Journal 
> of Speech, Language, and Hearing Research, 68(3), 1209-1224.
>
> Cheers!
>
>
>
>
> _UofL <https://louisville.edu/>_
>
> 	
>
> *Shae Morgan, PhD, AuD, CCC-A *(/_he/him/his 
> <https://www.glsen.org/activity/pronouns-guide-glsen>_/)
>
> Associate Professor
>
> Program Director, Audiology
>
> ------------------------------------------------------------------------
> *From:* AUDITORY - Research in Auditory Perception 
> <AUDITORY@xxxxxxxx> on behalf of Sophie Scott 
> <sophie.scott@xxxxxxxx>
> *Sent:* Tuesday, February 24, 2026 6:34 AM
> *To:* AUDITORY@xxxxxxxx <AUDITORY@xxxxxxxx>
> *Subject:* Re: [AUDITORY] Emotions vocalisations database
>
> *CAUTION:*This email originated from outside of our organization. Do 
> not click links, open attachments, or respond unless you recognize the 
> sender's email address and know the contents are safe.
>
> The stimulus set of non verbal emotional vocalizations that are 
> reported in this paper, Sauter et al, 2010, QJEP 
> (https://pure.mpg.de/rest/items/item_1169646/component/file_1169645/content), 
> and some of which are cross culturally recognised (Sauter et al, PNAS 
> 2010) are available if you email me directly.
>
> Best wishes
> Sophie
>
>
> Prof Sophie Scott CBE
> Director, Institute of Cognitive Neuroscience, UCL,
> 17 Queen Square,
> London WC1N 3AZ
> 020 7679 1144 (office)
> 07881853586 (mobile)
>
> ------------------------------------------------------------------------
> *From:* AUDITORY - Research in Auditory Perception 
> <AUDITORY@xxxxxxxx> on behalf of Uther, Maria <M.Uther@xxxxxxxx>
> *Sent:* 23 February 2026 11:03
> *To:* AUDITORY@xxxxxxxx <AUDITORY@xxxxxxxx>
> *Subject:* Emotions vocalisations database
>
> ⚠ Caution: External sender
>
>
> Hello all,
>
> I am in need of a set of freely available emotions vocalisations for a 
> study I am doing on detecting emotions in the human voice.
>
> I am aware of the Montreal Affective Voices. I am also aware of the 
> International Affective Digitized Sounds (IADS-E) database.
>
> Is there any reason to choose one over the other or anybody have any 
> other suggestions?
>
> Thanks in advance,
>
> Maria
>
> Professor Maria Uther, C.Psychol., CSci., AFBPsS
>
> Honorary Professor
>
> University of Wolverhampton
>
-- 
Jochem Rieger
Prof. Dr. rer. nat. habil.
Applied Neurocognitive Psychology
DFG Center for Open and Reproducible Neuroscience Tools
COST Action INDoS CA24161
DFG RTG 2783 Neuromodulation of motor and cognitive function

Carl-von-Ossietzky University Oldenburg
Phone: +49 (0)441 798 4533
Web:https://uol.de/en/applied-neurocognitive-psychology
github:https://github.com/ANCPLabOldenburg
https://www.indos-costaction.eu/

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    <p>GAUDIE is an extensively validated German naturalistic auditory
      speech database with positive, neutral, and negative speech
      sequences available for non-profit academic research purposes. It
      comprises 37 audio speech sequences with a total duration of 92
      minutes. The database is described in Lingelbach et al 2023</p>
    <p>  <br>
    </p>
    <p>Lingelbach, K., Vukelić, M. &amp; Rieger, J.W. GAUDIE:
      Development, validation, and exploration of a naturalistic German
      AUDItory Emotional database. <i>Behav Res</i> <b>56</b>,
      2049–2063 (2024). <a class="moz-txt-link-freetext" href="https://doi.org/10.3758/s13428-023-02135-z">https://doi.org/10.3758/s13428-023-02135-z</a></p>
    <p><br>
    </p>
    <p>Best, <br>
    </p>
    <p>    Jochem<br>
    </p>
    <p><br>
    </p>
    <div class="moz-cite-prefix">On 25.02.26 15:46, Morgan, Shae wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:PH7PR03MB699531C3012065F70AB4211D9F75A@xxxxxxxx">
      <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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      <div style="border: solid #003333 1.0pt; padding: 2.0pt 2.0pt
        2.0pt 2.0pt;">
        <p style="line-height: 10.0pt; background: #D5EAFF;"><span
            style="font-size: 10.0pt; font-family: 'Time new Roman';
            color: red;">ACHTUNG!</span><span style="font-size: 10.0pt;
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          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          If the stimuli can have speech vs nonverbal or just emotional
          sounds, there are lots of databases available:</div>
        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          <br>
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        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          Toronto Emotional Speech Set (Dupuis &amp; Pichora Fuller)</div>
        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          <a
href="https://www.kaggle.com/datasets/ejlok1/toronto-emotional-speech-set-tess"
            moz-do-not-send="true" class="moz-txt-link-freetext">https://www.kaggle.com/datasets/ejlok1/toronto-emotional-speech-set-tess</a></div>
        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          Morgan Emotional Speech Set (Morgan, 2019)</div>
        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          <a href="https://zenodo.org/records/7378320"
            moz-do-not-send="true" class="moz-txt-link-freetext">https://zenodo.org/records/7378320</a></div>
        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          Ryerson Audio-Visual Database of Emotional Speech and Song
          (RAVDESS; Livingstone and Russo 2018)</div>
        <div style="font-family: Aptos, Aptos_EmbeddedFont,
          Aptos_MSFontService, Calibri, Helvetica, sans-serif;
          font-size: 11pt; color: rgb(0, 0, 0);" class="elementToProof">
          <a href="https://zenodo.org/records/1188976"
            moz-do-not-send="true" class="moz-txt-link-freetext">https://zenodo.org/records/1188976</a></div>
        <div class="elementToProof" id="Signature">
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
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            class="elementToProof">
            <br>
          </div>
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
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            <br>
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            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
            class="elementToProof">
            They're all different in terms of which variables they
            code/don't code for. RAVDESS has song and speech, limited
            sentence variability (2 sentence frames), but many talkers
            and emotional expressions in high and low intensity. MESS
            has more semantic variability and target words (making it
            suitable for word and emotion recognition studies, masking,
            intelligibility, etc.), but fewer talkers (3 female 3 male)
            recorded at a single intensity for 4 emotion groups. TESS
            has few talkers, but includes age as a factor, a good number
            of emotional expressions. </div>
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
            class="elementToProof">
            <br>
          </div>
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
            class="elementToProof">
            Table 1 in Morgan &amp; LaPaugh (2025) has a summary of
            commonly used emotional speech databases with citations for
            each - you can read up on the methods to see which database
            would suit your needs!</div>
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
            class="elementToProof">
            <br>
          </div>
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
            class="elementToProof">
            Morgan, S. D., &amp; LaPaugh, B. (2025). Methodological
            Stimulus Considerations for Auditory Emotion Recognition
            Test Design. Journal of Speech, Language, and Hearing
            Research, 68(3), 1209-1224.</div>
          <div style="font-family: Aptos, Aptos_EmbeddedFont,
            Aptos_MSFontService, Calibri, Helvetica, sans-serif;
            font-size: 11pt; color: rgb(0, 0, 0);"
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            Cheers!</div>
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                    <span style="font-family: Helvetica, sans-serif;
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                        Morgan, PhD, AuD, CCC-A
                      </b></span><span style="font-family: Helvetica,
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                    <span style="font-family: Helvetica, sans-serif;
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                    <span style="font-family: Helvetica, sans-serif;
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                      Audiology</span></p>
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        <div id="divRplyFwdMsg" dir="ltr"><font style="font-size:11pt"
            face="Calibri, sans-serif" color="#000000"><b>From:</b>
            AUDITORY - Research in Auditory Perception
            <a class="moz-txt-link-rfc2396E" href="mailto:AUDITORY@xxxxxxxx">&lt;AUDITORY@xxxxxxxx&gt;</a> on behalf of Sophie Scott
            <a class="moz-txt-link-rfc2396E" href="mailto:sophie.scott@xxxxxxxx">&lt;sophie.scott@xxxxxxxx&gt;</a><br>
            <b>Sent:</b> Tuesday, February 24, 2026 6:34 AM<br>
            <b>To:</b> <a class="moz-txt-link-abbreviated" href="mailto:AUDITORY@xxxxxxxx">AUDITORY@xxxxxxxx</a>
            <a class="moz-txt-link-rfc2396E" href="mailto:AUDITORY@xxxxxxxx">&lt;AUDITORY@xxxxxxxx&gt;</a><br>
            <b>Subject:</b> Re: [AUDITORY] Emotions vocalisations
            database</font>
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                color:black">CAUTION:</span></b><span
              style="font-size:10.0pt; color:black"> This email
              originated from outside of our organization. Do not click
              links, open attachments, or respond unless you recognize
              the sender's email address and know the contents are safe.</span></p>
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style="font-family:Aptos,Aptos_EmbeddedFont,Aptos_MSFontService,Calibri,Helvetica,sans-serif;
              font-size:12pt; color:rgb(0,0,0)">
              The stimulus set of non verbal emotional vocalizations
              that are reported in this paper, Sauter et al, 2010, QJEP
              (<a
href="https://pure.mpg.de/rest/items/item_1169646/component/file_1169645/content"
originalsrc="https://pure.mpg.de/rest/items/item_1169646/component/file_1169645/content"
                moz-do-not-send="true" class="moz-txt-link-freetext">https://pure.mpg.de/rest/items/item_1169646/component/file_1169645/content</a>),
              and some of which are cross culturally recognised (Sauter
              et al, PNAS 2010) are available if you email me directly.</div>
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              Best wishes</div>
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              Sophie</div>
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                Prof Sophie Scott CBE</div>
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                Director, Institute of Cognitive Neuroscience, UCL,</div>
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                17 Queen Square, </div>
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            <div id="x_divRplyFwdMsg" dir="ltr"><font
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                color="#000000"><b>From:</b> AUDITORY - Research in
                Auditory Perception <a class="moz-txt-link-rfc2396E" href="mailto:AUDITORY@xxxxxxxx">&lt;AUDITORY@xxxxxxxx&gt;</a> on
                behalf of Uther, Maria <a class="moz-txt-link-rfc2396E" href="mailto:M.Uther@xxxxxxxx">&lt;M.Uther@xxxxxxxx&gt;</a><br>
                <b>Sent:</b> 23 February 2026 11:03<br>
                <b>To:</b> <a class="moz-txt-link-abbreviated" href="mailto:AUDITORY@xxxxxxxx">AUDITORY@xxxxxxxx</a>
                <a class="moz-txt-link-rfc2396E" href="mailto:AUDITORY@xxxxxxxx">&lt;AUDITORY@xxxxxxxx&gt;</a><br>
                <b>Subject:</b> Emotions vocalisations database</font>
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                  Hello all, </div>
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                </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  I am in need of a set of freely available emotions
                  vocalisations for a study I am doing on detecting
                  emotions in the human voice. </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  <br>
                </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  I am aware of the Montreal Affective Voices. I am also
                  aware of the International Affective Digitized Sounds
                  (IADS-E) database. </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  <br>
                </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  Is there any reason to choose one over the other or
                  anybody have any other suggestions? </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  <br>
                </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  Thanks in advance, </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  <br>
                </div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  Maria</div>
                <div style="direction:ltr;
                  font-family:Aptos,Arial,Helvetica,sans-serif;
                  font-size:12pt; color:rgb(0,0,0)">
                  <br>
                </div>
                <div id="x_x_ms-outlook-mobile-signature">
                  <p class="x_x_MsoNormal" style="margin:0cm;
                    font-family:Aptos,sans-serif; font-size:11pt">
                    <span style="color:black">Professor Maria Uther,
                      C.Psychol., CSci., AFBPsS</span></p>
                  <p class="x_x_MsoNormal" style="margin:0cm;
                    font-family:Aptos,sans-serif; font-size:11pt">
                    <span style="color:black">Honorary Professor</span></p>
                  <p class="x_x_MsoNormal" style="margin:0cm;
                    font-family:Aptos,sans-serif; font-size:11pt">
                    <span style="color:black">University of
                      Wolverhampton</span></p>
                </div>
              </div>
            </div>
          </div>
        </div>
      </div>
    </blockquote>
    <pre class="moz-signature" cols="72">-- 
Jochem Rieger
Prof. Dr. rer. nat. habil.
Applied Neurocognitive Psychology
DFG Center for Open and Reproducible Neuroscience Tools 
COST Action INDoS CA24161
DFG RTG 2783 Neuromodulation of motor and cognitive function

Carl-von-Ossietzky University Oldenburg
Phone: +49 (0)441 798 4533
Web: <a class="moz-txt-link-freetext" href="https://uol.de/en/applied-neurocognitive-psychology">https://uol.de/en/applied-neurocognitive-psychology</a>
github: <a class="moz-txt-link-freetext" href="https://github.com/ANCPLabOldenburg">https://github.com/ANCPLabOldenburg</a>
<a class="moz-txt-link-freetext" href="https://www.indos-costaction.eu/">https://www.indos-costaction.eu/</a>

</pre>
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--------------ms030801020108070708090307--
This message came from the mail archive
postings/2026/
maintained by:
DAn Ellis <dpwe@ee.columbia.edu>
Electrical Engineering Dept., Columbia University