English Gyani
About
'English Gyani' is a project designed to enhance English comprehension, reading and spoken English skills, particularly for individuals who face barriers to accessing traditional English learning materials or institutions. It addresses the growing demand for English proficiency in employment and career advancement opportunities. The lessons in 'English Gyani' are categorized into key areas to improve vocabulary, grammar, and sentence construction. These are the foundational elements of English comprehension. In addition, the platform also focuses on reading skills, covering factors such as pronunciation, stress, and intonation to help learners convey meaning effectively when speaking. Emphasis is placed on fluency, expressiveness, and the ability to speak English clearly and confidently.'English Gyani' is different from traditional spoken English schools in its ability to offer personalized, real-time feedback. Through voice interaction, learners can engage with lessons as they would in a classroom, receiving individualized guidance and support.
Objective:
Our mission is to empower individuals with essential English language skills through accessible, interactive, and personalized learning resources. The initiative focuses on enhancing vocabulary, grammar, reading, and spoken English proficiency. By breaking traditional learning barriers, we aim to build confidence in communication and equip learners with the tools needed for career advancement and personal growth in an increasingly English-centric world.Background and Motivation:
Despite the linguistic diversity in India, English serves as a common language connecting people in the workplace. However, a significant percentage of Indian graduates are considered unemployable due to inadequate English language skills. Research shows that proficiency in English not only enhances employability but also increases hourly wages. While spoken English is a crucial factor for securing good jobs and achieving financial growth, the majority of students and employees struggle with it. One primary reason for this gap is that only a small percentage of students receive education in English-medium schools. Although several spoken English schools exist, many individuals face challenges in attending these programs due to physical or demographic barriers. To address these issues, numerous English learning apps have been developed. However, surveys indicate that most of these apps provide only general feedback, lacking detailed insights on pronunciation and fluency. This growing demand for effective spoken English learning solutions has led to the creation of English Gyani, a platform designed to bridge this gap.>>top<<
Publications
Journals (Accepted and/or Published):
- Chiranjeevi Yarra , Prasanta Kumar Ghosh, , "Automatic syllable stress detection under non-parallel label and data condition", accepted in Speech Communication, Elsevier. [PDF]
- Aparna Srinivasan, Diviya Singh, Chiranjeevi Yarra, Aravind Illa, Prasanta Kumar Ghosh,, "A robust speaking rate estimator using a CNN-BLSTM network", accepted in Circuits, Systems, and Signal Processing, 2021. [PDF]
- Chiranjeevi Yarra, Supriya Nagesh, Prasanta Kumar Ghosh., "Noise robust speech rate estimation using SNR dependent sub-band selection and peak detection strategy", accepted in The Journal of the Acoustical Society of America. [PDF]
- Chiranjeevi Yarra, Prasanta Kumar Ghosh., "Automatic intonation classification using temporal patterns in utterance-level pitch contour and perceptually motivated pitch transformation", accepted in The Journal of the Acoustical Society of America 144.5 (2018): EL471-EL476. [PDF]
- Chiranjeevi Yarra, Om D. Deshmukh, Prasanta Kumar Ghosh., "A frame selective dynamic programming approach for noise robust pitch estimation", accepted in The Journal of the Acoustical Society of America, 143, no. 4 (2018): 2289--2300. [PDF]
- Srinivasa Raghavan, Nisha Meenakshi, Sanjeev Kumar Mittal, Chiranjeevi Yarra, Anupam Mandal, K R Prasanna Kumar, Prasanta Kumar Ghosh., "A comparative study on the effect of different codecs on speech recognition accuracy using various acoustic modeling techniques", accepted in Communications (NCC), 2017 Twenty-third National Conference on (pp. 1-6). IEEE. [PDF] [Poster]
- Yarra, Chiranjeevi, Om D. Deshmukh, Prasanta Kumar Ghosh., "A mode-shape classification technique for robust speech rate estimation and syllable nuclei detection", accepted in Speech Communication 78 (2016): 62-71. [PDF]
Conferences (Accepted and/or Published):
- Priyanshi Pal, Shelly Jain, Chiranjeevi Yarra, Prasanta Kumar Ghosh Anil Kumar Vuppala, "Study of Indian English Pronunciation variabilities relative to Received Pronunciation", accepted in SPECOM 2023. [PDF]
- Chowdam Venkata Thirumala Kumar, Meenakshi Sirigiraju, Rakesh Vaideeswaran Mahesh, Prasanta Kumar Ghosh, Chiranjeevi Yarra, "Can the decoded text from automatic speech recognition effectively detect spoken grammar errors?", accepted in SLATE 2023. [PDF]
- Shelly Jain, Priyanshi Pal, Anil Vuppala, Prasanta Kumar Ghosh, Chiranjeevi Yarra, "An investigation of Indian native language phonemic influences on L2 English pronunciations", accepted in INTERSPEECH 2023. [PDF]
- Priyanshi Pal, Chiranjeevi Yarra, Prasanta Kumar Ghosh, "voisTUTOR 2.0: A speech corpus with phonetic transcription for pronunciation evaluation of Indian L2 English learners", accepted in O-COCOSDA 2022. [PDF]
- Chiranjeevi Yarra , Prasanta Kumar Ghosh, , "Noise robust pitch stylization using minimum mean absolute error criterion", accepted in Interspeech 2021, Brno, Czech Republic. [PDF] [Slides] [Presentation]
- Pavan Kumar J, Chiranjeevi Yarra, Prasanta Kumar Ghosh,, "DNN based phrase boundary detection using knowledge-based features and feature representations from CNN", accepted in 2021 National Conference on Communications(NCC). [PDF]
- Chiranjeevi Yarra, Kausthubha N K , Prasanta Kumar Ghosh, "SPIRE-ABC: An online tool for acoustic-unit boundary correction (ABC) via crowdsourcing", accepted in Oriental COCOSDA 2020. [PDF] [Slides] [Presentation]
- Avni Rajpal, Achuth Rao MV, Chiranjeevi Yarra, Ritu Aggarwal, Prasanta Kumar Ghosh, "Pseudo Likelihood Correction Technique For Low Resource Accented ASR", accepted in ICASSP 2020. [PDF] [Slides]
- Chiranjeevi Yarra, Ritu Aggarwal, Avni Rajpal, Prasanta Kumar Ghosh, "Indic TIMIT and Indic English lexicon: A speech database of Indian speakers using TIMIT stimuli and a lexicon from their mispronunciations", accepted in Oriental COCOSDA 2019. [PDF] [Slides]
- Chiranjeevi Yarra, Aparna Srinivasan, Chandana Srinivasa, Ritu Aggarwal, Prasanta Kumar Ghosh, "voisTUTOR corpus: A speech corpus of Indian L2 English learners for pronunciation assessment", accepted in Oriental COCOSDA 2019. [PDF]
- Chiranjeevi Yarra, Prasanta Kumar Ghosh, "voisTUTOR: Virtual Operator for Interactive Spoken English TUTORing", accepted in 8th Workshop on Speech and Language Technology in Education, 2019. [PDF] [Slides]
- Chiranjeevi Yarra, Manoj Kumar Ramanathi, Prasanta Kumar Ghosh, "Comparison of automatic syllable stress detection quality with time-aligned boundaries and context dependencies", accepted in 8th Workshop on Speech and Language Technology in Education, 2019. [PDF] [Slides]
- Aparna Srinivasan, Chiranjeevi Yarra, Prasanta Kumar Ghosh, "Automatic assessment of pronunciation and its dependent factors by exploring their interdependencies using DNN and LSTM", accepted in 8th Workshop on Speech and Language Technology in Education, 2019. [PDF] [Slides]
- Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra, Anurag Das, Prasanta Kumar Ghosh, "Noise robust goodness of pronunciation measures using teacher's utterance", accepted in 8th Workshop on Speech and Language Technology in Education, 2019. [PDF] [Poster]
- Manoj Kumar Ramanathi, Chiranjeevi Yarra, Prasanta Kumar Ghosh, "ASR inspired syllable stress detection for pronunciation evaluation without using a supervised classifier and syllable level features", accepted in Interspeech 2019, Graz, Austria. [PDF] [Poster]
- Atreyee Saha, Chiranjeevi Yarra, Prasanta Kumar Ghosh, "Low resource automatic intonation classification using gated recurrent unit (GRU) networks pre-trained with synthesized pitch patterns", accepted in Interspeech 2019, Graz, Austria. [PDF] [Poster]
- Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra , Prasanta Kumar Ghosh, "An improved goodness of pronunciation (GoP) measure for pronunciation evaluation with DNN-HMM system considering HMM transition probabilities", accepted in Interspeech 2019, Graz, Austria. [PDF] [Poster]
- Chiranjeevi Yarra, Aparna Srinivasan, Sravani Gottimukkala, Prasanta Kumar Ghosh, "SPIRE-fluent: A self-learning app for tutoring oral fluency to second language English learners", accepted in Interspeech 2019, Graz, Austria. [PDF] [Poster]
- Chandana S, Chiranjeevi Yarra, Ritu Aggarwal, Sanjeev Kumar Mittal, Kausthubha N K,Raseena K T, Astha Singh , Prasanta Kumar Ghosh, "Automatic visual augmentation for concatenation based synthesized articulatory videos from real-time MRI data for spoken language training", accepted in Interspeech, Hyderabad, India, 2018, Page(s): 3127-3131. [PDF]
- Anand P A, Chiranjeevi Yarra, Kausthubha N K, Prasanta Kumar Ghosh, "Intonation tutor by SPIRE (In-SPIRE): An online tool for an automatic feedback to the second language learners in learning intonation", accepted in Proc. Interspeech, Hyderabad, India, 2018, Page(s): 546-547. [PDF]
- Chiranjeevi Yarra, Anand P A, Kausthubha N K, Prasanta Kumar Ghosh, "SPIRE-SST: An automatic web-based self-learning tool for syllable stress tutoring (SST) to the second language learners", accepted in Proc. Interspeech, Hyderabad, India, 2018, Page(s): 2390-2391. [PDF]
- Urvish Desai, Chiranjeevi Yarra, Prasanta Kumar Ghosh, "Concatenative articulatory video synthesis using real-time MRI data for spoken language training", accepted in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, page(s): 4999-5003. [PDF] [Slides]
- Chiranjeevi Yarra, Om D. Deshmukh, Prasanta Kumar Ghosh., "An automatic detection of syllable stress using sonority based prominence features for pronunciation evaluation", accepted in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017, (pp. 5845-5849). [PDF] [Poster]
- Nagesh, Supriya, Chiranjeevi Yarra, Om D. Deshmukh, Prasanta Kumar Ghosh, "A robust speech rate estimation based on the activation profile from the selected acoustic unit dictionary", accepted in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5400-5404. 2016.. [PDF]
- Nisha Meenakshi, Chiranjeevi Yarra, B. K. Yamini, Prasanta Kumar Ghosh, "Comparison of speech quality with and without sensors in electromagnetic articulograph AG 501 recording", accepted in InterSpeech, 2014. [PDF]
- Abhayjeet Singh, Achuth Rao M V, Rakesh Vaideeswaran, Chiranjeevi Yarra, Prasanta Kumar Ghosh, "A study on native american english speech recognition by Indian listeners with varying word familiarity level", accepted in Oriental COCOSDA 2021. [PDF] [Slides] [Presentation]
- Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah, Ankita Singh, Srinivasa Raghavan K M, Shreya Khare, Vinit Unni, saurabh vyas, Akash Rajapuria, Chiranjeevi Yarra, Ashish Mittal, Prasanta Kumar Ghosh, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati , Karthik Sankaranarayanan, "Multilingual and code-switching ASR challenges for low resource Indian languages", accepted in Interspeech 2021, Brno, Czech Republic. [PDF] [Slides] [Presentation]
Sharmistha Chakrabarti
Alumni
