'
}
}
global_geo_obj.html(weather_info);
var global_geo = jQuery('#forecast');
get_forecast_details(city, 4, global_geo, country);
})
});
});
function forecast_status(msg) {
jQuery('#forecast-header').html(msg);
}
function get_forecast_details(city, days_count, global_geo, country) {
global_geo.html('Loading forecast ...');
jQuery.ajax({
data: {
city: city,
report: 'daily'
},
dataType: 'jsonp',
url: 'https://upge.wn.com/api/upge/cheetah-photo-search/weather_forecast_4days',
success: function(data) {
if(!data) { text = ('weater data temporarily not available'); }
// loop through the list of weather info
weather_info = '';
var weather_day_loop = 0;
jQuery.each(data.list, function(idx, value) {
if (idx < 1) {
return;
}
if (weather_day_loop >= days_count) {
return false;
}
weather = value.weather.shift()
clouds = value.clouds
d = new Date(value.dt*1000)
t = d.getMonth()+1 + '-' + d.getDate() + '-' + d.getFullYear()
moment.lang('en', {
calendar : {
lastDay : '[Yesterday]',
sameDay : '[Today]',
nextDay : '[Tomorrow]',
lastWeek : '[last] dddd',
nextWeek : 'dddd',
sameElse : 'L'
}
});
mobj = moment(value.dt*1000)
// skip today
if (t == today) {
return;
}
tempC = parseInt(parseFloat(value.temp.day)-273.15)
tempF = parseInt(tempC*1.8+32)
today = t;
weather_day_loop += 1;
weather_info += '
'
});
global_geo.html(weather_info);
}
});
}
//-->
-
Lecture 39 : Word Sense Disambiguation - I
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form https://forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language fro...
published: 08 Mar 2017
-
Word Sense Disambiguation Using Naive bayes Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at [email protected]
published: 08 Apr 2020
-
Laminar Flow DISAMBIGUATION
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
published: 14 Feb 2019
-
Word Sense Disambiguation 🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
published: 05 Dec 2021
-
Adaptive Graph Guided Disambiguation for Partial Label Learning
Authors:
Dengbao Wang (Southwest University);Li Li (Southwest University);Min-Ling Zhang (Southeast University)
More on https://www.kdd.org/kdd2019/
published: 02 Jul 2019
-
Disambiguation: The Black Technology
Zhihoa Yuan's presentation from C++Now 2014.
Slides are available here: https://github.com/boostcon/cppnow_presentations_2014/blob/master/files/disambiguation.pdf?raw=true
---
*--*
---
published: 26 Sep 2014
-
Entity Disambiguation
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
published: 20 Apr 2023
-
Paper Reading & Discussion: Unsupervised Word Sense Disambiguation Rivaling Supervised Methods
Paper Link - https://aclanthology.org/P95-1026.pdf
published: 14 Mar 2022
-
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, s...
published: 12 Jan 2023
-
harvard & aliens & crackpots: a disambiguation of Avi Loeb
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
The Avi Loeb criticism starts around 24:00.
Francis Perey atlantic article: https://www.theatlantic.com/science/archive/2018/11/science-full-mavericks-like-my-grandfather-was-his-physics-theory-right/574573/
published: 25 Aug 2022
-
Word Sense Disambiguation
published: 13 Nov 2020
-
Mod-01 Lec-33 Word Sense Disambiguation; Overlap Based Method; Supervised Method
Natural Language Processing by Prof. Pushpak Bhattacharyya, Department of Computer science & Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.iitm.ac.in
published: 03 Jul 2012
-
Embedding Online Runtime Verification for Fault Disambiguation on Robonaut2
The next chapter for R2U2: “Embedding Online Runtime Verification for Fault Disambiguation on Robonaut2” Video teaser and conference talk for FORMATS’20 presentation by Brian Kempa, September, 2020
published: 27 Dec 2020
-
Prosodic disambiguation using chironomic stylization of intonation for native and non-native spe...
Title: Prosodic disambiguation using chironomic stylization of intonation for native and non-native speakers - (Oral presentation)
Authors: Xiao Xiao (LPP (UMR 7018), France), Nicolas Audibert (LPP (UMR 7018), France), Grégoire Locqueville (∂’Alembert (UMR 7190), France), Christophe d’Alessandro (∂’Alembert (UMR 7190), France), Barbara Kuhnert (LPP (UMR 7018), France), Claire Pillot-Loiseau (LPP (UMR 7018), France)
Category: Speech perception I
Abstract: This paper introduces an interface that enables the real-time gestural control of intonation in phrases produced by a vocal synthesizer. The melody and timing of a target phrase can be modified by tracing melodic contours on the touch-screen of a mobile tablet. Envisioning this interface as a means for non-native speakers to practice th...
published: 06 Jan 2022
33:21
Lecture 39 : Word Sense Disambiguation - I
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/tra...
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form https://forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language from the available languages to read the subtitle in the regional language.
https://wn.com/Lecture_39_Word_Sense_Disambiguation_I
To access the translated content:
1. The translated content of this course is available in regional languages. For details please visit https://nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form https://forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will display
4. From that select the option Subtitles/CC.
5. Now select the Language from the available languages to read the subtitle in the regional language.
- published: 08 Mar 2017
- views: 17760
14:19
Word Sense Disambiguation Using Naive bayes Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , ...
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at
[email protected]
https://wn.com/Word_Sense_Disambiguation_Using_Naive_Bayes_Classifier
This video is about Word Sense Disambiguation Using Naive bayes Classifier.
If you are interested in building cool Natural Language Processing (NLP) Apps , access our NLP APIs at https://www.firstlanguage.in/ . Also for NLP product development and consultation, please reach out to us at
[email protected]
- published: 08 Apr 2020
- views: 4690
9:18
Laminar Flow DISAMBIGUATION
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisill...
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
https://wn.com/Laminar_Flow_Disambiguation
Captain Disillusion gets his hands wet with some experiments, and lets you watch.
Please consider supporting my videos on: http://www.patreon.com/CaptainDisillusion
- published: 14 Feb 2019
- views: 9885559
8:29
Word Sense Disambiguation 🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right ...
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
https://wn.com/Word_Sense_Disambiguation_🔥
This video tutorial is about Word Sense Disambiguation in Natural Language Processing ( nlp ) in the language Hindi using lesk algorithm.
Purchase notes right now,
more details below:
https://perfectcomputerengineer.classx.co.in/new-courses/13-natural-language-processing-notes
* Natural Language Processing Playlist:
https://youtube.com/playlist?list=PLPIwNooIb9vimsumdWeKF3BRzs9tJ-_gy
* Human-Machine Interaction entire Playlist:
https://www.youtube.com/playlist?list=PLPIwNooIb9vhFRT_3JDQ0CGbW5HeFg3yK
* Distributed Computing:
https://youtube.com/playlist?list=PLPIwNooIb9vhYroMrNpoBYiBUFzTwEZot
*Gears used for this YouTube Channel:
https://linktr.ee/perfectcomputerengineer
*Let's connect:
Instagram: https://www.instagram.com/planetojas/
- published: 05 Dec 2021
- views: 62029
2:31
Adaptive Graph Guided Disambiguation for Partial Label Learning
Authors:
Dengbao Wang (Southwest University);Li Li (Southwest University);Min-Ling Zhang (Southeast University)
More on https://www.kdd.org/kdd2019/
Authors:
Dengbao Wang (Southwest University);Li Li (Southwest University);Min-Ling Zhang (Southeast University)
More on https://www.kdd.org/kdd2019/
https://wn.com/Adaptive_Graph_Guided_Disambiguation_For_Partial_Label_Learning
Authors:
Dengbao Wang (Southwest University);Li Li (Southwest University);Min-Ling Zhang (Southeast University)
More on https://www.kdd.org/kdd2019/
- published: 02 Jul 2019
- views: 82
1:26:45
Disambiguation: The Black Technology
Zhihoa Yuan's presentation from C++Now 2014.
Slides are available here: https://github.com/boostcon/cppnow_presentations_2014/blob/master/files/disambiguation.p...
Zhihoa Yuan's presentation from C++Now 2014.
Slides are available here: https://github.com/boostcon/cppnow_presentations_2014/blob/master/files/disambiguation.pdf?raw=true
---
*--*
---
https://wn.com/Disambiguation_The_Black_Technology
Zhihoa Yuan's presentation from C++Now 2014.
Slides are available here: https://github.com/boostcon/cppnow_presentations_2014/blob/master/files/disambiguation.pdf?raw=true
---
*--*
---
- published: 26 Sep 2014
- views: 799
26:02
Entity Disambiguation
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
https://wn.com/Entity_Disambiguation
This lecture introduces entity disambiguation - linking entities to an external knowledgebase like Wikipedia
- published: 20 Apr 2023
- views: 463
56:30
Bootleg: Guidable Self-Supervision for Named Entity Disambiguation -- Chris Re (Stanford University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguat...
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
https://wn.com/Bootleg_Guidable_Self_Supervision_For_Named_Entity_Disambiguation_Chris_Re_(Stanford_University)
September 18, 2020
Abstract
Mapping textual mentions to entities in a knowledge graph is a key step in using knowledge graphs, called Named Entity Disambiguation (NED). A key challenge in NED is generalizing to rarely seen (tail) entities. Traditionally NED uses hand-tuned patterns from a knowledge base to capture rare, but reliable, signals. Hand-built features make it challenging to deploy and maintain NED–especially in multiple locales. While at Apple in 2018, we built a self-supervised system for NED that was deployed in a handful of locales and that improved performance of downstream models significantly. However, due to the fog of production, it was unclear what aspects of these models were most valuable. Motivated by this experience, we built Bootleg, a clean-slate, open-source, self-supervised system to improve tail performance using a simple transformer-based architecture. Bootleg improves tail generalization through a new inverse regularization scheme to favor more generalizable signals automatically. Bootleg-like models are used by several downstream applications. As a result, quality issues fixed in one application may need to be fixed independently in many applications. Thus, we initiate the study of techniques to fix systematic errors in self-supervised models using weak supervision, augmentation, and training set refinement. Bootleg achieves new state-of-the-art performance on the three major NED benchmarks by up to 3.3 F1 points, and it improves performance over BERT baselines on tail slices by 50.1 F1 points.
Bootleg is open source at http://hazyresearch.stanford.edu/bootleg/.
Biography
Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Statistical Machine Learning Group. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He has cofounded four companies based on his research into machine learning systems,SambaNova and Snorkel, along with two companies that are now part of Apple, Lattice (DeepDive) in 2017 and Inductiv (HoloClean) in 2020.
He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
- published: 12 Jan 2023
- views: 135
1:06:38
harvard & aliens & crackpots: a disambiguation of Avi Loeb
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
T...
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
The Avi Loeb criticism starts around 24:00.
Francis Perey atlantic article: https://www.theatlantic.com/science/archive/2018/11/science-full-mavericks-like-my-grandfather-was-his-physics-theory-right/574573/
https://wn.com/Harvard_Aliens_Crackpots_A_Disambiguation_Of_Avi_Loeb
Crackpots 2: Aliens, harvard, harvard aliens? 'Oumuamua? Planet 9? Dinosaurs?
Can physicists be physics crackpots? Of course. Is Avi Loeb a crackpot? Maybe.
The Avi Loeb criticism starts around 24:00.
Francis Perey atlantic article: https://www.theatlantic.com/science/archive/2018/11/science-full-mavericks-like-my-grandfather-was-his-physics-theory-right/574573/
- published: 25 Aug 2022
- views: 403224
50:07
Mod-01 Lec-33 Word Sense Disambiguation; Overlap Based Method; Supervised Method
Natural Language Processing by Prof. Pushpak Bhattacharyya, Department of Computer science & Engineering,IIT Bombay.For more details on NPTEL visit http://nptel...
Natural Language Processing by Prof. Pushpak Bhattacharyya, Department of Computer science & Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.iitm.ac.in
https://wn.com/Mod_01_Lec_33_Word_Sense_Disambiguation_Overlap_Based_Method_Supervised_Method
Natural Language Processing by Prof. Pushpak Bhattacharyya, Department of Computer science & Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 03 Jul 2012
- views: 3533
19:13
Embedding Online Runtime Verification for Fault Disambiguation on Robonaut2
The next chapter for R2U2: “Embedding Online Runtime Verification for Fault Disambiguation on Robonaut2” Video teaser and conference talk for FORMATS’20 present...
The next chapter for R2U2: “Embedding Online Runtime Verification for Fault Disambiguation on Robonaut2” Video teaser and conference talk for FORMATS’20 presentation by Brian Kempa, September, 2020
https://wn.com/Embedding_Online_Runtime_Verification_For_Fault_Disambiguation_On_Robonaut2
The next chapter for R2U2: “Embedding Online Runtime Verification for Fault Disambiguation on Robonaut2” Video teaser and conference talk for FORMATS’20 presentation by Brian Kempa, September, 2020
- published: 27 Dec 2020
- views: 16
21:23
Prosodic disambiguation using chironomic stylization of intonation for native and non-native spe...
Title: Prosodic disambiguation using chironomic stylization of intonation for native and non-native speakers - (Oral presentation)
Authors: Xiao Xiao (LPP (UMR...
Title: Prosodic disambiguation using chironomic stylization of intonation for native and non-native speakers - (Oral presentation)
Authors: Xiao Xiao (LPP (UMR 7018), France), Nicolas Audibert (LPP (UMR 7018), France), Grégoire Locqueville (∂’Alembert (UMR 7190), France), Christophe d’Alessandro (∂’Alembert (UMR 7190), France), Barbara Kuhnert (LPP (UMR 7018), France), Claire Pillot-Loiseau (LPP (UMR 7018), France)
Category: Speech perception I
Abstract: This paper introduces an interface that enables the real-time gestural control of intonation in phrases produced by a vocal synthesizer. The melody and timing of a target phrase can be modified by tracing melodic contours on the touch-screen of a mobile tablet. Envisioning this interface as a means for non-native speakers to practice the intonation of a foreign language, we present a pilot study where native and non-native speakers imitated the pronunciation of French phrases using their voice and the interface, with a visual guide and without. Comparison of resulting F0 curves against the reference contour and a preliminary perceptual assessment of synthesized utterances suggest that for both non-native and native speakers, imitation with the help of a visual guide is comparable in accuracy to vocal imitation, and that timing control was a source of difficulty.
For more details and PDF version of the paper visit: https://www.isca-speech.org/archive/interspeech_2021/xiao21_interspeech.html
d01s13t01tlk
https://wn.com/Prosodic_Disambiguation_Using_Chironomic_Stylization_Of_Intonation_For_Native_And_Non_Native_Spe...
Title: Prosodic disambiguation using chironomic stylization of intonation for native and non-native speakers - (Oral presentation)
Authors: Xiao Xiao (LPP (UMR 7018), France), Nicolas Audibert (LPP (UMR 7018), France), Grégoire Locqueville (∂’Alembert (UMR 7190), France), Christophe d’Alessandro (∂’Alembert (UMR 7190), France), Barbara Kuhnert (LPP (UMR 7018), France), Claire Pillot-Loiseau (LPP (UMR 7018), France)
Category: Speech perception I
Abstract: This paper introduces an interface that enables the real-time gestural control of intonation in phrases produced by a vocal synthesizer. The melody and timing of a target phrase can be modified by tracing melodic contours on the touch-screen of a mobile tablet. Envisioning this interface as a means for non-native speakers to practice the intonation of a foreign language, we present a pilot study where native and non-native speakers imitated the pronunciation of French phrases using their voice and the interface, with a visual guide and without. Comparison of resulting F0 curves against the reference contour and a preliminary perceptual assessment of synthesized utterances suggest that for both non-native and native speakers, imitation with the help of a visual guide is comparable in accuracy to vocal imitation, and that timing control was a source of difficulty.
For more details and PDF version of the paper visit: https://www.isca-speech.org/archive/interspeech_2021/xiao21_interspeech.html
d01s13t01tlk
- published: 06 Jan 2022
- views: 16