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14 results for “intonation”
Audio files referred to in Roettger, Timo B. (2017). Tonal Placement in Tashlhiyt - How an intonation system accommodates to adverse phonological environments.
<p>Audio files referred to in Roettger, Timo B. (2017). Tonal Placement in Tashlhiyt - How an intonation system accommodates to adverse phonological environments. Berlin: Language Science Press (DOI 10.5281/zenodo.814472)</p>
Intonational Speech Prosody Encoding in Human Auditory Cortex
<p>This dataset contains data and results associated with the manuscript, "Intonational Speech Prosody Encoding in Human Auditory Cortex", as well as code used to analyze the data and generate the figures of the manuscript. </p> <p>intonatang-2017.7.17.tar.gz contains the entire project, including neural data, stimulus sound files, analysis code, and documentation. The code and documentation can also be viewed on Github at https://github.com/ChangLabUcsf/intonatang.</p> <p>We additionally included each block of neural data and a zipped file containing the experimental, acoustic stimuli as separate files in this dataset. The data comprise three experiment types, "Speech", "Non-speech control", and "Non-speech missing f0 control". The neural data files are named with a subject identification number and a block number.</p> <p>Speech:</p> <ol> <li>EC113_B13</li> <li>EC113_B20</li> <li>EC113_B21</li> <li>EC118_B3</li> <li>EC118_B7</li> <li>EC118_B13</li> <li>EC122_B30</li> <li>EC122_B40</li> <li>EC122_B43</li> <li>EC122_B53</li> <li>EC123_B4</li> <li>EC123_B5</li> <li>EC123_B10</li> <li>EC125_B13</li> <li>EC125_B1044</li> <li>EC129_B10</li> <li>EC129_B16</li> <li>EC129_B37</li> <li>EC131_B47</li> <li>EC131_B48</li> <li>EC137_B7</li> <li>EC137_B10</li> <li>EC142_B36</li> <li>EC142_B37</li> <li>EC143_B9</li> <li>EC143_B11</li> <li>EC143_B13</li> </ol> <p>Non-speech control:</p> <ol> <li>EC122_B33</li> <li>EC122_B45</li> <li>EC123_B11</li> <li>EC123_B16</li> <li>EC125_B30</li> <li>EC129_B40</li> <li>EC129_B42</li> <li>EC131_B54</li> <li>EC131_B59</li> </ol> <p>Non-speech missing f0 control:</p> <ol> <li>EC137_B9</li> <li>EC137_B11</li> <li>EC142_B38</li> <li>EC142_B40</li> <li>EC143_B10</li> <li>EC143_B12</li> <li>EC143_B14</li> </ol> <p>These .mat files contain the following variables: </p> <ul> <li> badTimeSegments - (n_badTimeSegments x 2) <ul> <li>This variable contains manually marked time segments containing epileptiform, electrical, or movement artifacts. Each row indicates one bad time segment, with the start time and end time in seconds.</li> </ul> </li> <li>bcs - (n_bcs) <ul> <li>This array contains manually marked bad channels. These channels from the ECoG grid either had continuous epileptiform activity or signal indistinguishable from noise. The channels are indexed from 0.</li> </ul> </li> <li>ECXXX_BXX_hg_100Hz - (n_chans x n_timepoints) <ul> <li>This variable contains the mean high-gamma analytic amplitude signal for each channel, sampled at 100Hz. The mean is taken across 8 bands between 70-150Hz. The variable name contains the subject number, ECXXX, and block number BXX. </li> </ul> </li> <li>ECXXX_BXX_log_hg_100Hz - (n_chans x n_timepoints) <ul> <li>This variable contains the mean of the natural logarithm of the high-gamma analytic amplitude signal for each channel. The log is taken for each of the 8 bands between 70-150Hz and then averaged.</li> </ul> </li> <li>experiment <ul> <li>This variable holds the experiment type and is either "Speech", "Non-speech control", or "Non-speech missing f0 control".</li> </ul> </li> <li>sentence_numbers - (n_trials) <ul> <li>The integers in this array are the sentence number condition for each trial in this block. The sentence number conditions depend on the experiment type.</li> </ul> <ol> <li>For the "Speech" experiment, the four sentences indicated by 1, 2, 3, and 4 are "Humans value genuine behavior", "Movies demand minimal energy", "Lawyers give a relevant opinion", and "Reindeer are a visual animal".</li> <li>For the "Non-speech control" experiment, the sentence number conditions indicate which sentence from the main experiment the amplitude contour for the control stimuli came from. A sentence number of 5 means that the amplitude contour was flat. </li> <li>For the "Non-speech missing f0 control", the sentence number holds information about the composition of the stimulus (which harmonics were present), whether noise was added, and how much the pitch range was stretched. <ul> <li>0: 4h + 5h + 6h, no noise, stretch = 1</li> <li>1: f0 + 2h + 3h, no noise, stretch = 1</li> <li>2: 4h + 5h + 6h, noise, stretch = 1</li> <li>3: 4h + 5h + 6h, noise, stretch = 0.5</li> <li>4: 4h + 5h + 6h, noise, stretch = 2</li> </ul> </li> </ol> </li> <li>sentence_types - (n_trials) <ul> <li>The sentence type is the intonation contour condition. Across all experiment types, a sentence type of 1 is Neutral, 2 is Question, 3 is Emphasis 1, and 4 is Emphasis 3.</li> </ul> </li> <li>speakers - (n_trial) <ul> <li>The speaker conditions depend on the experiment. <ul> <li>The speaker condition for the "Speech" experiment is an integer between 1 and 3. 1 is the low-formant, low-pitch male speaker. 2 is the high-formant, high-pitch female speaker. 3 is the low-formant, high-pitch female speaker. The absolute pitch values of speakers 2 and 3 match, while the formant values of speaker 1 and 3 match.</li> <li>The speaker condition for both of the two non-speech experiments are either 1 or 2. 1 means low absolute pitch (male) and 2 means high absolute pitch (female).</li> </ul> </li> </ul> </li> <li>stims - (n_trials) <ul> <li>This array holds the stimulus name that was played for each trial. The names refer to the wav files in the tokens, tokens_nonspeech, and tokens_missing_f0 folders, for the "Speech", "Non-speech control", and "Non-speech missing f0 control" experiments, respectively.</li> </ul> </li> <li>times - (n_trials) <ul> <li>This array contains the onset times of each trial in seconds.</li> </ul> </li> </ul>
Supplementary Information for Consonance-emerging Hebbian Learning neural network model predicts discreteness of musical scales and the Natural Just Intonation scale
<p><strong>The following phenomena and features are apparent in music and auditory perception in general: the discreteness of the tones in musical scales</strong> [1]<strong>, the prevalence of the tonal frequency span of one semitone (100 cents) in musical scales across cultures </strong>[1]<strong>, the list of tonal intervals ordered by consonance [2], and the musical performers’ preference of the Natural Just-Intonation scale [3] (A). However, researchers still have no agreement about the causes and the emergence of said phenomena (A). Here we show that the consonance-pattern emerging neural network model introduced in our previous study [4], predicts and yields all the said phenomena (A) with a precision of 1/100<sup>th</sup> of a semitone (1 cent). This precision is beyond the resolution of human hearing </strong>[5], [6], [7]. <strong>Since the Hebbian learning paradigm and harmonicity are the main features of our model, we propose that they are sufficient conditions for any system to yield the said phenomena (A). Therefore, they have a crucial role in processing pitch, consonance, and music perception in general. As a consequence, we additionally propose that the mentioned phenomena (A) are a balanced result of the joint workings of the Hebbian paradigm (nurture and cultural exposure) and harmonicity (auditory physics and biology).</strong></p>
Data from: The breath shape controls intonation of mouse vocalizations
Open the record for dataset details and reuse information.
RINCO - Russian Intonation Corpus
<p>The Russian Intonation Corpus (RINCO) is a multimedia speech corpus designed for the study of prosody in Russian.</p> <p>RINCO started as a series of MS Access databases developed in 2004–2009 by a research team at the philological faculty of Moscow State University led by Sandro V. Kodzasov. The databases contained descriptions of most important prosodic characteristics (several tonal features, tempo, loudness, phonation types) for quasi-natural dialog utterances, as well as for a selection of spontaneous and prepared spoken narrative texts of different genres. These descriptions have been transferred to a multi-layer time-aligned markup format, suitable for local use in ELAN annotator and for online browsing, playback and search using the LAT server platform.</p> <p>This version of the dataset includes the part pertaining to the "Intonation of Russian dialogue" project (Questions, Imperatives, Statements); the remaining parts are incomplete.</p> <p> </p>
InTone for Urinary Incontinence
ClinicalTrials.gov study NCT02543242. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Melodic Intonation Therapy for Tone Language Speakers
ClinicalTrials.gov study NCT04221386. IPD Sharing: NO. Countries: 1. Publications: 3.
Melodic-Intonation-Therapy and Speech-Repetition-Therapy for Patients With Non-fluent Aphasia
ClinicalTrials.gov study NCT00903266. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Les données pour la trosième section d'un article concernant l'intonation et les langues tonales
<p>Ces données appartiennent à la troisième section de notre article "Aborder l'intonation : L'apport des langues tonales". Cette section est intitulée "Etude-pilote concernant la perception du français par les locuteurs du vietnamien".</p>
COMPARATIVE ANALYSIS OF INTONATION OF STATEMENTS IN ENGLISH AND UZBEK
Open the record for dataset details and reuse information.
Perception of Intonation by Bimodal and Bilateral Cochlear Implant Users
ClinicalTrials.gov study NCT02323932. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Acoustic and Perceptual Effects of Intonation Training in Gender Diverse People
ClinicalTrials.gov study NCT05204732. IPD Sharing: NO. Countries: 1. Publications: 0.
The Short-term Impact of Vocal Intonation Therapy (VIT) and Therapeutic Singing (TS) on Respiratory Function in Patients With Lung Cancer
ClinicalTrials.gov study NCT06172959. IPD Sharing: NO. Countries: 1. Publications: 0.
Adaptation of Melodic Intonation Therapy to Spanish
ClinicalTrials.gov study NCT03433495. IPD Sharing: NO. Countries: 0. Publications: 0.
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