TECHNICAL PROGRAM

Day 1: Aug 29, 2018 (WEDNESDAY)

Two Parallel Tutorials:
ASR -Kaldi (Sanjeev Khudanpur) and NMT (Kevin Duh)

08:30

09:30

 

Registration of Participants

09:30

11:00

 

Tutorial Part-I

11:00

11:30

 

Tea/Coffee Break

11:30

13:30

 

Tutorial Part-II

13:30

14:30

 

Lunch Break

14:30

16:00

 

Tutorial Part-III

16:00

16:30

 

Tea/Coffee Break

16:30

18:00

 

Tutorial Part-IV

18:00

19:30

 

Free Time

19:30

-

 

Welcome Reception at Hotel Red Fox, Gurugram

Day 2: Aug 30, 2018 (THURSDAY)

08:30

09:30

 

Registration of Participants

09:30

10:30

 

Inaugural Session

10:30

11:15

 

Keynote Speaker - I
Pushpak Bhattacharya - IIT (Bombay, Patna)

11:15

11:45

 

Tea/Coffee Break

11:45

13:15

 

Oral session-I: Zero & Low Resource Languages
6 Papers (15min each; 12 min presentation + 3 min Q&A)

1

Optimizing DPGMM Clustering InZero Resource Setting Based on Functional Load
Bin Wu, Sakriani Sakti, Jinsong Zhang and Satoshi Nakamura

2 Low-Resource Tibetan Dialect Acoustic Modeling Based on Transfer Learning
Jinghao Yan, ZhiqiangLv, Shen Huang and Hongzhi Yu
3 Interspeech2018 Low Resource Automatic Speech Recognition Challenge for Indian Languages
Brij Mohan Lal Srivastava, Sunayana Sitaram, Rupesh Kumar Mehta, Krishna Doss Mohan, Pallavi Matani, Sandeepkumar Satpal, Kalika Bali, Radhakrishnan Srikanth and Niranjan Nayak
4 Advances InLow Resource ASR: A Deep Learning Perspective
Hardik B. Sailor, Ankur T. Patil and Hemant A. Patil
5 ASR-Free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages
Raghav Menon, Herman Kamper, Emre Yilmaz, John Quinn and Thomas Niesler
6 Signal Processing Cues to Improve Automatic Speech Recognition for Low Resource Indian Languages
Arun Baby, Karthik Pandia D S and Hema A Murthy

13:15

14:00

 

Lunch Break & SLTU Board Meeting

14:00

15:30

 

Oral Session -II: Data Collection, Crowd Sourcing
6 Papers (15min each; 12 min presentation + 3 min Q&A)

1

Diarization In Maximally Ecological Recordings: Data From Tsimane Children
Julien Karadayi, Camila Scaff, Jonathan Stieglitz and Alejandrina Cristia

2 A Small Griko-Italian Speech Translation Corpus
Marcely Zanon Boito, Antonis Anastasopoulos, Marika Lekakou, Aline Villavicencio and Laurent Besacier
3 Corpus Construction and Semantic Analysis of Indonesian Image Description
Khumaisa Nur'aini, Johanes Effendi, Sakriani Sakti, Mirna Adriani and Satoshi Nakamura
4 Designing AnIVR Based Framework for Telephony Speech Data Collection and Transcription In Under-Resourced Languages
Joyanta Basu, Soma Khan, Milton Samirakshma Bepari, Rajib Roy, Madhab Pal, Sushmita Nandi, Karunesh Kumar Arora, Sunita Arora, Shweta Bansal, Shyam Sunder Agrawal
5 Crowd-Sourced Speech Corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali
Oddur Kjartansson, Supheakmungkol Sarin, Knot Pipatsrisawat, Martin Jansche and Linne Ha
6 IIITH-ILSC Speech Database for Indain Language Identification
Ravi Kumar Vuddagiri, Krishna Gurugubelli, Priyam Jain, Hari Krishna Vydana and Anil Kumar Vuppala

15:30

16:50

 

Poster Session & Tea Time

1

Mining Training Data for Language Modeling Across the World's Languages
Manasa Prasad, Theresa Breiner and Daan Van Esch

2 A Step-By-Step Process for Building TTS Voices Using Open Source Data and Frameworks for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese
Keshan Sodimana, Pasindu De Silva, Supheakmungkol Sarin, Oddur Kjartansson, Martin Jansche, Knot Pipatsrisawat and Linne Ha
3 Prosodic Analysis of Non-Native South Indian English Speech
Radha Krishna Guntur, R Krishnan and V.K. Mittal
4 Implementation of Concatenation Technique for Low Resource Text-To-Speech System-Based on Marathi Talking Calculator
Monica Mundada, Sangramsing Kayte and Pradip Das
5 A Unified Phonological Representation of South Asian Languages for Multilingual Text-To-Speech
Isin Demirsahin, Martin Jansche and Alexander Gutkin
6 Acoustic Characretistics of Vowel InPunjabi
Swaran Lata, Prashant Verma and Simerjeet Kaur
7

A Comparative Study of SMT and NMT: Case Study of English-Nepali Language Pair
Praveen Acharya and Bal Krishna Bal

8 Post-Processing Using Speech Enhancement Techniques for Unit Selection and Hidden Markov Model-Based Low Resource Language Marathi Text-To-Speech System
Sangramsing Kayte and Monica Mundada
9 Relative Phase Shift Features for Replay Spoof Detection System
Srinivas Kantheti and Hemant Patil
10 Empirical Study of Speech Synthesis Markup Language and Its Implementation for Punjabi Language
Atul Kumar and Shyam Agrawal
11 Development of IIITH Hindi-English Code-Mixed Speech Database
Banothu Rambabu and Suryakanth V Gangashetty
12 Sinhala G2P Conversion for Speech Processing
Thilini Nadungodage, Chamila Liyanage, Amathri Prerera, Randil Pushpananda and Ruvan Weerasinghe

16:50

18:05

 

Oral session - III: Code Switching & Speech Detection
5 Papers (15min each; 12 min presentation + 3 min Q&A)

1

Automatic Detection of Palatalized Consonants In Kashmiri
Ramakrishna Thirumuru, Krishna Gurugubelli and Anil Kumar Vuppala

2 Improving ASR for Code-Switched Speech In Under-Resourced Languages Using Out-Of-Domain Data
Astik Biswas, Ewald Van Der Westhuizen, Thomas Niesler and FebeDe Wet
3 Code-Switching Detection WithData-Augmented Acoustic and Language Models
Emre Yilmaz, Henk Van Den Heuvel and David A. Van Leeuwen
4 SVM-Based Language Diarization for Code-Switched Bilingual Indian Speech Using Bottleneck Features
Spoorthy V, Veena Thenkanidiyoor and Dileep A.D
5 Dialect Identification Using Tonal and Spectral Features In Two Dialects of Ao
Moakala Tzudir, Priyankoo Sarmah and S R Mahadeva Prasanna

18:05

19:30

 

Free Time

19:30

-

 

Gala Dinner (Banquet Hall)

Day 3: Aug 31, 2018 (FRIDAY)

09:00

10:00

 

Oral session-IV: Speech Synthesis
4 Papers (15 min each; 12 min presentation + 3 min Q&A)

1

DNN-Based Myanmar Speech Synthesis
Aye Mya Hlaing, Win Pa Pa and Ye Kyaw Thu

2 Text Normalization for Bangla, Khmer, Nepali, Javanese, Sinhala and Sundanese Text-To-Speech Systems
Keshan Sodimana, Pasindu De Silva, Richard Sproat, Theeraphol Wattanavekin, Chenfang Li, Alexander Gutkin, Supheakmungkol Sarin, and Knot Pipatsrisawat
3 Building A Natural Sounding Text-To-Speech System for the Nepali Language - Research and Development Challenges and Solutions
Roop Shree Ratna Bajracharya, Santosh Regmi, Bal Krishna Bal and Balaram Prasain
4 A Human Quality Text to Speech System for Sinhala
Lakshika Nanayakkara, Chamila Liyanage, Pubudu Tharaka Viswakula, Thilini Nagungodage, Randil Pushpananda and Ruvan Weerasinghe

10:00

10:45

 

Keynote Speaker - II
Emmanuel Dupoux - EHESS ,Paris

10:45

11:15

 

Tea Break

11:15

13:15

 

Panel Discussion

13:15

14:00

 

Lunch

14:00

15:30

 

Oral Session V: Automatic Speech Recognition & Language Identification
6 Papers (15 min each; 12 min presentation + 3 min Q&A)

1

Neural Networks-Based Automatic Speech Recognition for Agricultural Commodity InGujarati Language
Hardik B. Sailor and Hemant A. Patil

2 Building An ASR System for Mboshi Using A Cross-Language Definition of Acoustic Units Approach
Odette Scharenborg, Patrick Ebel, Francesco Ciannella, Mark Hasegawa-Johnson and NajimDehak
3 Incorporating Speaker Normalizing Capabilities to An End-To-End Speech Recognition System
Hari Krishna Vydana, Sivanand Achanta and Anil Kumar Vuppala
4 Language Identification of Assamese, Bengali and English Speech
Joyshree Chakraborty, Shikhamoni Nath, S R Nirmala and Samudravijaya K
5 Automatic Speech Recognition for Humanitarian Applications In Somali
Raghav Menon, Astik Biswas, Armin Saeb, John Quinn and Thomas Niesler
6 Improving ASR Output for Endangered Language Documentation
Robbie Jimerson, Kruthika Simha, Raymond Ptucha and Emily Prud'hommeaux

15:30

16:30

 

Poster Session / Tea Break

1

Assessing Performance of Bengali Speech Recognizers under Real World Conditions using GMM-HMM and DNN Based Methods
Soma Khan, Madhab Pal, Joyanta Basu, Milton SamirakshmaBepari and Rajib Roy

2 Evaluating Code-Switched Malay-English Speech using Time Delay Neural Networks
Anand Singh and Tien-Ping Tan
3 Hindi Speech Vowel Recognition using Hidden Markov Model
Shobha Bhatt, Dr. Amita Dev and Dr. Anurag Jain
4 Building Speech Recognition Systems for Language Documentation: the Coedl Endangered Language Pipeline and Inference System (ELPIS)
Ben Foley, Josh Arnold, Rolando Coto-Solano, Gautier Durantin, T. Mark Ellison, DaanVan Esch, Scott Heath, František Kratochvíl, Zara Maxwell-Smith, David Nash, Ola Olsson, Mark Richards, Nay San, Hywel Stoakes, Nick Thieberger and Janet Wiles
5 Improved Language Identification using Stacked SDC Features and Residual Neural Network
Ravi Kumar Vuddagiri, Hari Krishna Vydana and Anil Kumar Vuppala
6 Investigating the Use of Mixed-Units based Modelling for Improving Uyghur Speech Recognition
Pengfei Hu, Shen Huang and Zhiqiang Lv
7

Development of Assamese Continuous Speech Recognition System
Barsha Deka, Nirmala S.R. and Samudravijaya K.

8 Segmental and Supra Segmental Feature Based Speech Recognition System for Under Resourced Languages
Tanmay Bhowmik and Shyamal Kumar Das Mandal
9 Application of Egyptian Vulture Optimization In Speech Emotion Recognition
Shreya Sahu, Arpan Jain, Ritu Tiwari and Anupam Shukla
10 Marathi Speech Recognition
Supriya Paulose, Shikhamoni Nath and Samudravijaya K
11 Building AnAutomatic Speech Recognition System In Sora Language Using Data Collected for Acoustic Phonetic Studies
Kishalay Chakraborty, Luke Horo and PriyankooSarmah
12 Jamlit: A Corpus of Jamaican Standard English for Automatic Speech Recognition of Children’s Speech
Stefan Watson and Andre Coy

16:30

18:00

 

Oral Session VI: Feature Analysis of Speech Signal
6 Papers (15 min each; 12 min presentation + 3 min Q&A)

1

Predicting the Features of World Atlas of Language Structures FromSpeech
Alexander Gutkin, Tatiana Merkulova and Martin Jansche

2 Visually Grounded Cross-Lingual Keyword Spotting In Speech
Herman Kamper and Michael Roth
3 The Intonation System of Tajik: Is It Identical to Persian?
Marina Agafonova
4 Brahmic Schwa-Deletion With Neural Classifiers: Experiments with Bengali
CibuJohny and Martin Jansche
5 Preliminary Acoustic Analysis of Manipuri Vowels
TulikaBasu, Arup Saha and Potsangbam Madhubala
6 Analysis and Comparison of Features for Text-Independent Bengali Speaker Recognition
Shubhadeep Das and Pradip K. Das

18:00

18:30

 

Valedictory Function

 

Download Technical Program HERE !

General Instructions for ORAL Presentation:

  • Each speaker will have 12 minutes for presentation followed by 3 minutes for summary and question answer session.
  • Speakers will be notified at the 10th minute of the presentation to start concluding their presentation.
  • Speakers are required to use the computers provided by the conference organizers for their oral presentations. Personal laptops should not be used.
  • Please load your PPT in advance before the start of your session.
  • It is recommended that multimedia, sound, or video files are embedded in the presentation.
  • The selection of font size and type should be wisely done so that the content are easily readable and understandable.

General Guidelines for Poster Presentations:

The poster must be no less than A1 and no larger than A0 size (A0 size is 33.1 x 46.8 inches i.e. width x height). Orientation of your poster must be in POTRAIT style.

Presenters are advised to mount their posters 20 minutes before the start of the session, and remove it after the session ends. Conference organizers will not be responsible for posters left behind after the session ends.

At least one of the authors must be present at the poster during the designated session.

The poster should be a visual presentation of your submitted paper and should meet the following criteria:

TITLE

The title should be the same as in the submitted paper. The title of your poster should appear at the top in CAPITAL letters.Characters should be a minimum of 48 point font size. Put the author(s)' name(s) and affiliation(s) below the title.

LETTERING

The poster should be easily readable at a distance of two metres. Use UPPER and lower case for general content as the use of all-capital text is difficult to read. Avoid using a mixture of type/font styles.

CONTENT

The text should be concise and easy to read. 24 to 32 font size single spaced is recommended.

The message that your poster contains should be clear and understandable with minimum requirement of oral explanation. If relevant, methods should be presented simply and concisely.

Results should be presented graphically if possible. Avoid large tables of data. Results should be in line with those originally submitted in your abstract.

Use pictures, symbols and colour. Figure legends are essential and should be short but informative. If using graphs, they should have a short heading.

For visual effect, we recommend that graphs be no smaller than 12cm x 18cm. Photographs should be no smaller than 12cm x 18cm.

Prepare a short presentation of about 5 or 10 minutes that you can periodically give to those assembled around your poster throughout the 1 hour poster session.