---
title: "Interspeech 2019 — all accepted papers, page 3"
description: "All 914 papers of Interspeech 2019 · page 3 of 10, the most cited first; those with our summary link to it."
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# Interspeech 2019: all accepted papers

914 papers · page 3 of 10 · the most cited first · [← Interspeech 2019](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/)

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201. **[Fully-Convolutional Network for Pitch Estimation of Speech Signals ↗](https://doi.org/10.21437/interspeech.2019-2815)**Luc Ardaillon, Axel Röebel*30 citations*
202. **[Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech ↗](https://doi.org/10.21437/interspeech.2019-2158)**Natalia Tomashenko, Antoine Caubrière, Yannick Estève*30 citations*
203. **[Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder ↗](https://doi.org/10.21437/interspeech.2019-2960)**Rohit Voleti, Stephanie M. Woolridge, Julie Liss et al.*30 citations*
204. **[On Robustness of Unsupervised Domain Adaptation for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2019-1524)**Pierre-Michel Bousquet, Mickaël Rouvier*30 citations*
205. **[Understanding and Visualizing Raw Waveform-Based CNNs ↗](https://doi.org/10.21437/interspeech.2019-2341)**Hannah Muckenhirn, Vinayak Abrol, Mathew Magimai.-Doss et al.*30 citations*
206. **[A Time Delay Neural Network with Shared Weight Self-Attention for Small-Footprint Keyword Spotting ↗](https://doi.org/10.21437/interspeech.2019-1676)**Ye Bai, Jiangyan Yi, Jianhua Tao et al.*29 citations*
207. **[Cumulative Adaptation for BLSTM Acoustic Models ↗](https://doi.org/10.21437/interspeech.2019-2162)**Markus Kitza, Pavel Golik, Ralf Schlüter et al.*29 citations*
208. **[End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios ↗](https://doi.org/10.21437/interspeech.2019-2366)**Swapnil Bhosale, Imran Sheikh, Sri Harsha Dumpala et al.*29 citations*
209. **[Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech ↗](https://doi.org/10.21437/interspeech.2019-1265)**Li-Wei Chen, Hung-yi Lee, Yu Tsao*29 citations*
210. **[Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1290)**Shiliang Zhang, Ming Lei, Zhijie Yan*29 citations*
211. **[On the Importance of Audio-Source Separation for Singer Identification in Polyphonic Music ↗](https://doi.org/10.21437/interspeech.2019-1925)**Bidisha Sharma, Rohan Kumar Das, Haizhou Li*29 citations*
212. **[One-Pass Single-Channel Noisy Speech Recognition Using a Combination of Noisy and Enhanced Features ↗](https://doi.org/10.21437/interspeech.2019-1270)**Masakiyo Fujimoto, Hisashi Kawai*29 citations*
213. **[One-Shot Voice Conversion with Global Speaker Embeddings ↗](https://doi.org/10.21437/interspeech.2019-2365)**Hui Lu, Zhiyong Wu, Dongyang Dai et al.*29 citations*
214. **[Real-Time Neural Text-to-Speech with Sequence-to-Sequence Acoustic Model and WaveGlow or Single Gaussian WaveRNN Vocoders ↗](https://doi.org/10.21437/interspeech.2019-1288)**Takuma Okamoto, Tomoki Toda, Yoshinori Shiga et al.*29 citations*
215. **[Speaker-Aware Deep Denoising Autoencoder with Embedded Speaker Identity for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2019-2108)**Fu-Kai Chuang, Syu‐Siang Wang, Jeih-weih Hung et al.*29 citations*
216. **[Speech Enhancement for Noise-Robust Speech Synthesis Using Wasserstein GAN ↗](https://doi.org/10.21437/interspeech.2019-2648)**Nagaraj Adiga, Yannis Pantazis, Vassilis Tsiaras et al.*29 citations*
217. **[Towards Joint Sound Scene and Polyphonic Sound Event Recognition ↗](https://doi.org/10.21437/interspeech.2019-2169)**Helen L. Bear, Inês Nolasco, Emmanouil Benetos*29 citations*
218. **[A Robust Framework for Acoustic Scene Classification ↗](https://doi.org/10.21437/interspeech.2019-1841)**Lam Dang Pham, Ian Vince McLoughlin, Huy Phan et al.*28 citations*
219. **[Deep Speaker Recognition: Modular or Monolithic? ↗](https://doi.org/10.21437/interspeech.2019-3146)**Gautam Bhattacharya, Jahangir Alam, Patrick J Kenny*28 citations*
220. **[Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS ↗](https://doi.org/10.21437/interspeech.2019-2167)**Haohan Guo, Frank K. Soong, Lei He et al.*28 citations*
221. **[Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2177)**Youngmoon Jung, Younggwan Kim, Hyungjun Lim et al.*28 citations*
222. **[Speaker Diarization with Lexical Information ↗](https://doi.org/10.21437/interspeech.2019-1947)**Tae‐Jin Park, Kyu Jeong Han, Jing Huang et al.*28 citations*
223. **[Transfer Learning from Audio-Visual Grounding to Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1227)**Wei-Ning Hsu, David F. Harwath, James Glass*28 citations*
224. **[Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-2048)**Andy T. Liu, Po-chun Hsu, Hung-yi Lee*28 citations*
225. **[Acoustic Scene Classification Using Teacher-Student Learning with Soft-Labels ↗](https://doi.org/10.21437/interspeech.2019-1989)**Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim et al.*27 citations*
226. **[Anti-Spoofing Speaker Verification System with Multi-Feature Integration and Multi-Task Learning ↗](https://doi.org/10.21437/interspeech.2019-1698)**Rongjin Li, Miao Zhao, Zheng Li et al.*27 citations*
227. **[Child Speech Disorder Detection with Siamese Recurrent Network Using Speech Attribute Features ↗](https://doi.org/10.21437/interspeech.2019-2320)**Jiarui Wang, Ying Hua Qin, Zhiyuan Peng et al.*27 citations*
228. **[Code-Switching Sentence Generation by Bert and Generative Adversarial Networks ↗](https://doi.org/10.21437/interspeech.2019-2501)**Yingying Gao, Junlan Feng, Liu Ying et al.*27 citations*
229. **[Feature Exploration for Almost Zero-Resource ASR-Free Keyword Spotting Using a Multilingual Bottleneck Extractor and Correspondence Autoencoders ↗](https://doi.org/10.21437/interspeech.2019-1665)**Raghav Menon, Herman Kamper, Ewald van der Westhuizen et al.*27 citations*
230. **[Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1242)**Bin Liu, Shuai Nie, Shan Liang et al.*27 citations*
231. **[Neural Network Distillation on IoT Platforms for Sound Event Detection ↗](https://doi.org/10.21437/interspeech.2019-2394)**Gianmarco Cerutti, Rahul Prasad, Alessio Brutti et al.*27 citations*
232. **[Prosodic Phrase Alignment for Machine Dubbing ↗](https://doi.org/10.21437/interspeech.2019-1621)**Alp Öktem, Mireia Farrús, Antonio Bonafonte*27 citations*
233. **[Speech Emotion Recognition Based on Multi-Label Emotion Existence Model ↗](https://doi.org/10.21437/interspeech.2019-2524)**Atsushi Ando, Ryo Masumura, Hosana Kamiyama et al.*27 citations*
234. **[Building a Mixed-Lingual Neural TTS System with Only Monolingual Data ↗](https://doi.org/10.21437/interspeech.2019-3191)**Liumeng Xue, Wei Song, Guanghui Xu et al.*26 citations*
235. **[Into the Wild: Transitioning from Recognizing Mood in Clinical Interactions to Personal Conversations for Individuals with Bipolar Disorder ↗](https://doi.org/10.21437/interspeech.2019-2698)**Katie Matton, Melvin G. McInnis, Emily Mower Provost*26 citations*
236. **[Rare Sound Event Detection Using Deep Learning and Data Augmentation ↗](https://doi.org/10.21437/interspeech.2019-1985)**Yanping Chen, Hongxia Jin*26 citations*
237. **[Spatio-Temporal Attention Pooling for Audio Scene Classification ↗](https://doi.org/10.21437/interspeech.2019-3040)**Huy Phan, Oliver Y. Chén, Lam Dang Pham et al.*26 citations*
238. **[The Dependability of Voice on Elders’ Acceptance of Humanoid Agents ↗](https://doi.org/10.21437/interspeech.2019-1734)**Anna Aurelia Esposito, Terry Amorese, Marialucia Cuciniello et al.*26 citations*
239. **[Who Needs Words? Lexicon-Free Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-3107)**Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert*26 citations*
240. **[An Effective Deep Embedding Learning Architecture for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1606)**Yiheng Jiang, Yan Song, Ian Vince McLoughlin et al.*25 citations*
241. **[Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments ↗](https://doi.org/10.21437/interspeech.2019-1428)**Hassan Taherian, Zhong-Qiu Wang, DeLiang Wang*25 citations*
242. **[Do not Hesitate! — Unless You Do it Shortly or Nasally: How the Phonetics of Filled Pauses Determine Their Subjective Frequency and Perceived Speaker Performance ↗](https://doi.org/10.21437/interspeech.2019-1194)**Oliver Niebuhr, Kerstin Fischer*25 citations*
243. **[Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR ↗](https://doi.org/10.21437/interspeech.2019-2719)**Felix Johannes Weninger, Jesús Andrés-Ferrer, Xinwei Li et al.*25 citations*
244. **[Monaural Speech Enhancement with Dilated Convolutions ↗](https://doi.org/10.21437/interspeech.2019-2782)**Shadi Pirhosseinloo, Jonathan S. Brumberg*25 citations*
245. **[Shortcut Connections Based Deep Speaker Embeddings for End-to-End Speaker Verification System ↗](https://doi.org/10.21437/interspeech.2019-2195)**Soonshin Seo, Daniel Jun Rim, Minkyu Lim et al.*25 citations*
246. **[Spoken Language Intent Detection Using Confusion2Vec ↗](https://doi.org/10.21437/interspeech.2019-2226)**Prashanth Gurunath Shivakumar, Mu Yang, Panayiotis Georgiou*25 citations*
247. **[A Speaker-Dependent WaveNet for Voice Conversion with Non-Parallel Data ↗](https://doi.org/10.21437/interspeech.2019-1514)**Xiaohai Tian, Eng Siong Chng, Haizhou Li*24 citations*
248. **[Diagnosing Dysarthria with Long Short-Term Memory Networks ↗](https://doi.org/10.21437/interspeech.2019-2903)**Alex Mayle, Zhiwei Mou, Răzvan Bunescu et al.*24 citations*
249. **[End-to-End Multi-Speaker Speech Recognition Using Speaker Embeddings and Transfer Learning ↗](https://doi.org/10.21437/interspeech.2019-1130)**Pavel Denisov, Ngoc Thang Vu*24 citations*
250. **[Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis Embeddings ↗](https://doi.org/10.21437/interspeech.2019-1241)**Prakhar Swarup, Roland Maas, Sri Garimella et al.*24 citations*
251. **[Meta Learning for Hyperparameter Optimization in Dialogue System ↗](https://doi.org/10.21437/interspeech.2019-1383)**Jen‐Tzung Chien, Wei Xiang Lieow*24 citations*
252. **[Unsupervised Training of Neural Mask-Based Beamforming ↗](https://doi.org/10.21437/interspeech.2019-2549)**Lukas Drude, Jahn Heymann, Reinhold Haeb‐Umbach*24 citations*
253. **[Analysis of Pronunciation Learning in End-to-End Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-2830)**Jason Taylor, Korin Richmond*23 citations*
254. **[Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models ↗](https://doi.org/10.21437/interspeech.2019-2068)**Kuan‐Yu Chen, Che-Ping Tsai, Da-Rong Liu et al.*23 citations*
255. **[Multi-Stride Self-Attention for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1973)**Kyu Jeong Han, Jing Huang, Yun Tang et al.*23 citations*
256. **[Real-Time One-Pass Decoder for Speech Recognition Using LSTM Language Models ↗](https://doi.org/10.21437/interspeech.2019-2798)**Javier Jorge, Adrià Giménez, Javier Iranzo-Sánchez et al.*23 citations*
257. **[ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning ↗](https://doi.org/10.21437/interspeech.2019-2811)**Łukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla et al.*23 citations*
258. **[Using Fisher Vector and Bag-of-Audio-Words Representations to Identify Styrian Dialects, Sleepiness, Baby & Orca Sounds ↗](https://doi.org/10.21437/interspeech.2019-1726)**Gábor Gosztolya*23 citations*
259. **[A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders ↗](https://doi.org/10.21437/interspeech.2019-1398)**Manuel Pariente, Antoine Deleforge, Emmanuel Vincent A*22 citations*
260. **[A Study for Improving Device-Directed Speech Detection Toward Frictionless Human-Machine Interaction ↗](https://doi.org/10.21437/interspeech.2019-2840)**Che-Wei Huang, Roland Maas, Sri Harish Mallidi et al.*22 citations*
261. **[Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables ↗](https://doi.org/10.21437/interspeech.2019-1815)**Carol Espy-Wilson, Adam C. Lammert, Nadee Seneviratne et al.*22 citations*
262. **[Direction-Aware Speaker Beam for Multi-Channel Speaker Extraction ↗](https://doi.org/10.21437/interspeech.2019-1474)**Guanjun Li, Shan Liang, Shuai Nie et al.*22 citations*
263. **[End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1986)**Hee-Soo Heo, Jee-weon Jung, IL-Ho Yang et al.*22 citations*
264. **[End-to-End SpeakerBeam for Single Channel Target Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1856)**Marc Delcroix, Shinji Watanabe, Tsubasa Ochiai et al.*22 citations*
265. **[IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019 ↗](https://doi.org/10.21437/interspeech.2019-1623)**K.N.R.K. Raju Alluri, Anil Kumar Vuppala*22 citations*
266. **[Joint Student-Teacher Learning for Audio-Visual Scene-Aware Dialog ↗](https://doi.org/10.21437/interspeech.2019-3143)**Chiori Hori, Anoop Cherian, Tim K. Marks et al.*22 citations*
267. **[Mixup Learning Strategies for Text-Independent Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2250)**Yingke Zhu, Tom Ko, Brian Kan-Wing Mak*22 citations*
268. **[Multi-Accent Adaptation Based on Gate Mechanism ↗](https://doi.org/10.21437/interspeech.2019-3155)**Han Zhu, Li Wang, Pengyuan Zhang et al.*22 citations*
269. **[Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-Level Embedding Features ↗](https://doi.org/10.21437/interspeech.2019-1235)**Zexin Cai, Yaogen Yang, Chuxiong Zhang et al.*22 citations*
270. **[Probabilistic Permutation Invariant Training for Speech Separation ↗](https://doi.org/10.21437/interspeech.2019-1827)**Midia Yousefi, Soheil Khorram, John H. L. Hansen*22 citations*
271. **[SpeechYOLO: Detection and Localization of Speech Objects ↗](https://doi.org/10.21437/interspeech.2019-1749)**Yael Segal, Tzeviya Sylvia Fuchs, Joseph Keshet*22 citations*
272. **[VAE-Based Regularization for Deep Speaker Embedding ↗](https://doi.org/10.21437/interspeech.2019-2486)**Yang Zhang, Lantian Li, Dong Wang*22 citations*
273. **[A Joint End-to-End and DNN-HMM Hybrid Automatic Speech Recognition System with Transferring Sharable Knowledge ↗](https://doi.org/10.21437/interspeech.2019-2263)**Tomohiro Tanaka, Ryo Masumura, Takafumi Moriya et al.*21 citations*
274. **[A Mandarin Prosodic Boundary Prediction Model Based on Multi-Task Learning ↗](https://doi.org/10.21437/interspeech.2019-1400)**Huashan Pan, Xiulin Li, Zhiqiang Huang*21 citations*
275. **[A Path Signature Approach for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2624)**Bo Wang, Maria Liakata, Hao Ni et al.*21 citations*
276. **[Acoustic Modeling for Automatic Lyrics-to-Audio Alignment ↗](https://doi.org/10.21437/interspeech.2019-1520)**Chitralekha Gupta, Emre Yılmaz, Haizhou Li*21 citations*
277. **[Analyzing Verbal and Nonverbal Features for Predicting Group Performance ↗](https://doi.org/10.21437/interspeech.2019-3062)**Uliyana Kubasova, Gabriel Murray, McKenzie Braley*21 citations*
278. **[Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-Trained BERT ↗](https://doi.org/10.21437/interspeech.2019-2292)**Dongyang Dai, Zhiyong Wu, Shiyin Kang et al.*21 citations*
279. **[Energy Separation-Based Instantaneous Frequency Estimation for Cochlear Cepstral Feature for Replay Spoof Detection ↗](https://doi.org/10.21437/interspeech.2019-2742)**Ankur T. Patil, Rajul Acharya, Pulikonda Aditya Krishna Sai et al.*21 citations*
280. **[Leveraging a Character, Word and Prosody Triplet for an ASR Error Robust and Agglutination Friendly Punctuation Approach ↗](https://doi.org/10.21437/interspeech.2019-2132)**György Szaszák, Máté Ákos Tündik*21 citations*
281. **[Robust DOA Estimation Based on Convolutional Neural Network and Time-Frequency Masking ↗](https://doi.org/10.21437/interspeech.2019-3158)**Wangyou Zhang, Ying Zhou, Yanmin Qian*21 citations*
282. **[Scalable Multi Corpora Neural Language Models for ASR ↗](https://doi.org/10.21437/interspeech.2019-3060)**Anirudh Raju, Denis Filimonov, Gautam Tiwari et al.*21 citations*
283. **[Semi-Supervised Audio Classification with Consistency-Based Regularization ↗](https://doi.org/10.21437/interspeech.2019-1231)**Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh et al.*21 citations*
284. **[Training Multi-Speaker Neural Text-to-Speech Systems Using Speaker-Imbalanced Speech Corpora ↗](https://doi.org/10.21437/interspeech.2019-1311)**Hieu-Thi Luong, Xin Wang, Junichi Yamagishi et al.*21 citations*
285. **[Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection ↗](https://doi.org/10.21437/interspeech.2019-1354)**Anastasios Vafeiadis, Eleftherios Fanioudakis, Ilyas Potamitis et al.*21 citations*
286. **[Ultrasound-Based Silent Speech Interface Built on a Continuous Vocoder ↗](https://doi.org/10.21437/interspeech.2019-2046)**Tamás Gábor Csapó, Mohammed Salah Al-Radhi, Géza Németh et al.*21 citations*
287. **[Use of Beiwe Smartphone App to Identify and Track Speech Decline in Amyotrophic Lateral Sclerosis (ALS) ↗](https://doi.org/10.21437/interspeech.2019-3126)**Kathryn P. Connaghan, Jordan R. Green, Sabrina Paganoni et al.*21 citations*
288. **[A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2700)**Wei Zhang, Xiaodong Cui, Ulrich Finkler et al.*20 citations*
289. **[Coarse-to-Fine Optimization for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2019-2792)**Jian Yao, Ahmad Al-Dahle*20 citations*
290. **[Conditional Variational Auto-Encoder for Text-Driven Expressive AudioVisual Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-2848)**Sara Dahmani, Vincent Colotte, Valérian Girard et al.*20 citations*
291. **[Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1746)**Lanhua You, Wu Guo, Li-Rong Dai et al.*20 citations*
292. **[Pre-Trained Text Representations for Improving Front-End Text Processing in Mandarin Text-to-Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-1418)**Bing Yang, Jiaqi Zhong, Shan Ting Liu*20 citations*
293. **[Semi-Supervised Acoustic Model Training for Five-Lingual Code-Switched ASR ↗](https://doi.org/10.21437/interspeech.2019-1325)**Astik Biswas, Emre Yılmaz, Febe de Wet et al.*20 citations*
294. **[Towards the Speech Features of Mild Cognitive Impairment: Universal Evidence from Structured and Unstructured Connected Speech of Chinese ↗](https://doi.org/10.21437/interspeech.2019-2414)**Tianqi Wang, Chongyuan Lian, Jingshen Pan et al.*20 citations*
295. **[A Hybrid Approach to Acoustic Scene Classification Based on Universal Acoustic Models ↗](https://doi.org/10.21437/interspeech.2019-2171)**Xue Bai, Jun Du, Zi-Rui Wang et al.*19 citations*
296. **[Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation ↗](https://doi.org/10.21437/interspeech.2019-3002)**Truc Thi Kim Nguyen, Franz Pernkopf*19 citations*
297. **[An Analysis of Local Monotonic Attention Variants ↗](https://doi.org/10.21437/interspeech.2019-2879)**André Merboldt, Albert Zeyer, Ralf Schlüter et al.*19 citations*
298. **[Analysis of BUT Submission in Far-Field Scenarios of VOiCES 2019 Challenge ↗](https://doi.org/10.21437/interspeech.2019-2471)**Pavel Matějka, Oldřich Plchot, Hossein Zeinali et al.*19 citations*
299. **[Assessing Parkinson’s Disease from Speech Using Fisher Vectors ↗](https://doi.org/10.21437/interspeech.2019-2217)**José Vicente Egas-López, Juan Rafael Orozco‐Arroyave, Gábor Gosztolya*19 citations*
300. **[Attention Based Hybrid i-Vector BLSTM Model for Language Recognition ↗](https://doi.org/10.21437/interspeech.2019-2371)**Bharat Padi, Anand Mohan, Sriram Ganapathy*19 citations*

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