---
title: "Interspeech 2019 — all accepted papers, page 4"
description: "All 914 papers of Interspeech 2019 · page 4 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 4 of 10 · the most cited first · [← Interspeech 2019](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/)

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301. **[Comparison of Speech Tasks and Recording Devices for Voice Based Automatic Classification of Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis ↗](https://doi.org/10.21437/interspeech.2019-1285)**Suhas BN, Deep Patel, Nithin Rao et al.*19 citations*
302. **[Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features ↗](https://doi.org/10.21437/interspeech.2019-1940)**Cunhang Fan, Bin Liu, Jianhua Tao et al.*19 citations*
303. **[Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1536)**Shansong Liu, Shoukang Hu, Yi Wang et al.*19 citations*
304. **[Feature Representation of Pathophysiology of Parkinsonian Dysarthria ↗](https://doi.org/10.21437/interspeech.2019-2490)**Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Ríos-Urrego et al.*19 citations*
305. **[Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection ↗](https://doi.org/10.21437/interspeech.2019-2045)**Yuhan Shen, Kexin He, Wei-Qiang Zhang*19 citations*
306. **[Multi-Corpus Acoustic-to-Articulatory Speech Inversion ↗](https://doi.org/10.21437/interspeech.2019-3168)**Nadee Seneviratne, Ganesh Sivaraman, Carol Espy-Wilson*19 citations*
307. **[Optimization of False Acceptance/Rejection Rates and Decision Threshold for End-to-End Text-Dependent Speaker Verification Systems ↗](https://doi.org/10.21437/interspeech.2019-2550)**Victoria Mingote, Antonio Miguel, Dayana Ribas et al.*19 citations*
308. **[Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information ↗](https://doi.org/10.21437/interspeech.2019-2965)**Yoan Dinkov, Ahmed M. Abdelatty Ali, Ivan Koychev et al.*19 citations*
309. **[Self Attention in Variational Sequential Learning for Summarization ↗](https://doi.org/10.21437/interspeech.2019-1548)**Jen‐Tzung Chien, Chun-Wei Wang*19 citations*
310. **[Speech Audio Super-Resolution for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-3043)**Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff*19 citations*
311. **[Two-Stage Training for Chinese Dialect Recognition ↗](https://doi.org/10.21437/interspeech.2019-1522)**Zongze Ren, Guofu Yang, Shugong Xu*19 citations*
312. **[Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition ↗](https://doi.org/10.21437/interspeech.2019-2110)**Sung-Lin Yeh, Gao-Yi Chao, Bo-Hao Su et al.*19 citations*
313. **[Active Learning Methods for Low Resource End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2316)**Karan Malhotra, Shubham Bansal, Sriram Ganapathy*18 citations*
314. **[Advancing Sequence-to-Sequence Based Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-3018)**Zoltán Tüske, Kartik Audhkhasi, George Saon*18 citations*
315. **[Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System ↗](https://doi.org/10.21437/interspeech.2019-2378)**Gerardo Roa Dabike, Jon Barker*18 citations*
316. **[Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data ↗](https://doi.org/10.21437/interspeech.2019-1867)**Yerbolat Khassanov, Haihua Xu, Van Tung Pham et al.*18 citations*
317. **[Cross-Domain Replay Spoofing Attack Detection Using Domain Adversarial Training ↗](https://doi.org/10.21437/interspeech.2019-2120)**Hongji Wang, Heinrich Dinkel, Shuai Wang et al.*18 citations*
318. **[Detecting Topic-Oriented Speaker Stance in Conversational Speech ↗](https://doi.org/10.21437/interspeech.2019-2632)**Catherine Lai, Beatrice Alex, Johanna D. Moore et al.*18 citations*
319. **[I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences ↗](https://doi.org/10.21437/interspeech.2019-1533)**Kong Aik Lee, Ville Hautamäki, Tomi Kinnunen et al.*18 citations*
320. **[Lombard Speech Synthesis Using Transfer Learning in a Tacotron Text-to-Speech System ↗](https://doi.org/10.21437/interspeech.2019-1333)**Bajibabu Bollepalli, Lauri Juvela, Paavo Alku*18 citations*
321. **[Multi-Task Learning with High-Order Statistics for x-Vector Based Text-Independent Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2264)**Lanhua You, Wu Guo, Li-Rong Dai et al.*18 citations*
322. **[Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation ↗](https://doi.org/10.21437/interspeech.2019-1232)**Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing et al.*18 citations*
323. **[Simultaneous Denoising and Dereverberation for Low-Latency Applications Using Frame-by-Frame Online Unified Convolutional Beamformer ↗](https://doi.org/10.21437/interspeech.2019-1286)**Tomohiro Nakatani, Keisuke Kinoshita*18 citations*
324. **[Speaker Diarization Using Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings ↗](https://doi.org/10.21437/interspeech.2019-2912)**Alan V. McCree, Gregory Sell, Daniel Garcia-Romero*18 citations*
325. **[Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction ↗](https://doi.org/10.21437/interspeech.2019-2521)**Nusrah Hussain, Engin Erzin, Tevfik Metin Sezgin et al.*18 citations*
326. **[Speech Enhancement Using Forked Generative Adversarial Networks with Spectral Subtraction ↗](https://doi.org/10.21437/interspeech.2019-2954)**Ju Lin, Sufeng Niu, Zice Wei et al.*18 citations*
327. **[Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features ↗](https://doi.org/10.21437/interspeech.2019-1760)**Jennifer A. Williams, Joanna Rownicka*18 citations*
328. **[VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken English ↗](https://doi.org/10.21437/interspeech.2019-1413)**Jacob Sager, Ravi Shankar, Jacob C. Reinhold et al.*18 citations*
329. **[Analysis of Critical Metadata Factors for the Calibration of Speaker Recognition Systems ↗](https://doi.org/10.21437/interspeech.2019-1808)**Mahesh Kumar Nandwana, Luciana Ferrer, Mitchell McLaren et al.*17 citations*
330. **[Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling ↗](https://doi.org/10.21437/interspeech.2019-1337)**Siyuan Feng, Tan Lee, Zhiyuan Peng*17 citations*
331. **[End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network ↗](https://doi.org/10.21437/interspeech.2019-1292)**Ziqiang Shi, Huibin Lin, Liu Liu et al.*17 citations*
332. **[Expediting TTS Synthesis with Adversarial Vocoding ↗](https://doi.org/10.21437/interspeech.2019-3099)**Paarth Neekhara, Chris Donahue, Miller Puckette et al.*17 citations*
333. **[Identifying Mood Episodes Using Dialogue Features from Clinical Interviews ↗](https://doi.org/10.21437/interspeech.2019-1878)**Zakaria Aldeneh, Mimansa Jaiswal, Michael Picheny et al.*17 citations*
334. **[Incorporating Symbolic Sequential Modeling for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2019-1777)**Chien-Feng Liao, Yu Tsao, Xugang Lu et al.*17 citations*
335. **[Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice ↗](https://doi.org/10.21437/interspeech.2019-2998)**Vikramjit Mitra, Sue Booker, Erik Marchi et al.*17 citations*
336. **[Multilingual Speech Recognition with Corpus Relatedness Sampling ↗](https://doi.org/10.21437/interspeech.2019-3052)**Xinjian Li, Siddharth Dalmia, Alan W. Black et al.*17 citations*
337. **[On the Use/Misuse of the Term ‘Phoneme’ ↗](https://doi.org/10.21437/interspeech.2019-2711)**Roger K. Moore, Lucy Skidmore*17 citations*
338. **[Optimizing Speech-Input Length for Speaker-Independent Depression Classification ↗](https://doi.org/10.21437/interspeech.2019-3095)**Tomasz Rutowski, Amir Harati, Yang Lü et al.*17 citations*
339. **[Personalized Dialogue Response Generation Learned from Monologues ↗](https://doi.org/10.21437/interspeech.2019-1696)**Fengguang Su, Aliyah R. Hsu, Yi-Lin Tuan et al.*17 citations*
340. **[Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence ↗](https://doi.org/10.21437/interspeech.2019-2707)**Dominik Schiller, Tobias Huber, Florian Lingenfelser et al.*17 citations*
341. **[STC Speaker Recognition Systems for the VOiCES from a Distance Challenge ↗](https://doi.org/10.21437/interspeech.2019-2783)**Sergey Novoselov, Aleksei Gusev, Artem Ivanov et al.*17 citations*
342. **[Three’s a Crowd? Effects of a Second Human on Vocal Accommodation with a Voice Assistant ↗](https://doi.org/10.21437/interspeech.2019-1825)**Eran Raveh, Ingo Siegert, Ingmar Steiner et al.*17 citations*
343. **[Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events ↗](https://doi.org/10.21437/interspeech.2019-2231)**Hongwei Song, Jiqing Han, Shiwen Deng et al.*16 citations*
344. **[Analysis of Multilingual Sequence-to-Sequence Speech Recognition Systems ↗](https://doi.org/10.21437/interspeech.2019-2355)**Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe et al.*16 citations*
345. **[Autoencoder-Based Semi-Supervised Curriculum Learning for Out-of-Domain Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1440)**Siqi Zheng, Gang Liu, Hongbin Suo et al.*16 citations*
346. **[Comparison of Telephone Recordings and Professional Microphone Recordings for Early Detection of Parkinson’s Disease, Using Mel-Frequency Cepstral Coefficients with Gaussian Mixture Models ↗](https://doi.org/10.21437/interspeech.2019-2825)**Laetitia Jeancolas, Graziella Mangone, Jean‐Christophe Corvol et al.*16 citations*
347. **[Cross-Attention End-to-End ASR for Two-Party Conversations ↗](https://doi.org/10.21437/interspeech.2019-3173)**Suyoun Kim, Siddharth Dalmia, Florian Metze*16 citations*
348. **[End-to-End Articulatory Attribute Modeling for Low-Resource Multilingual Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2092)**Sheng Li, Chenchen Ding, Xugang Lu et al.*16 citations*
349. **[Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1959)**Karan Taneja, Satarupa Guha, Preethi Jyothi et al.*16 citations*
350. **[Keyword Spotting for Hearing Assistive Devices Robust to External Speakers ↗](https://doi.org/10.21437/interspeech.2019-2010)**Iván López‐Espejo, Zheng‐Hua Tan, Jesper Jensen*16 citations*
351. **[Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment ↗](https://doi.org/10.21437/interspeech.2019-1437)**Danwei Cai, Xiaoyi Qin, Ming Li*16 citations*
352. **[Multi-PLDA Diarization on Children’s Speech ↗](https://doi.org/10.21437/interspeech.2019-2961)**Jiamin Xie, Leibny Paola Garcia, Daniel Povey et al.*16 citations*
353. **[Sound Event Detection in Multichannel Audio Using Convolutional Time-Frequency-Channel Squeeze and Excitation ↗](https://doi.org/10.21437/interspeech.2019-1860)**Wei Xia, Kazuhito Koishida*16 citations*
354. **[Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility ↗](https://doi.org/10.21437/interspeech.2019-2791)**Parvaneh Janbakhshi, Ina Kodrasi, Hervé A. Bourlard*16 citations*
355. **[Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term Classification ↗](https://doi.org/10.21437/interspeech.2019-1766)**Chieh-Chi Kao, Ming Sun, Yixin Gao et al.*16 citations*
356. **[Towards Language-Universal Mandarin-English Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1365)**Shiliang Zhang, Yuan Liu, Ming Lei et al.*16 citations*
357. **[Turn-Taking Prediction Based on Detection of Transition Relevance Place ↗](https://doi.org/10.21437/interspeech.2019-1537)**Kohei Hara, Koji Inoue, Katsuya Takanashi et al.*16 citations*
358. **[Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test ↗](https://doi.org/10.21437/interspeech.2019-1352)**Alice Baird, Shahin Amiriparian, Nicholas Cummins et al.*16 citations*
359. **[A Multimodal Real-Time MRI Articulatory Corpus of French for Speech Research ↗](https://doi.org/10.21437/interspeech.2019-1700)**Ioannis Douros, Jacques Felblinger, Jens Frahm et al.*15 citations*
360. **[Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech ↗](https://doi.org/10.21437/interspeech.2019-2353)**Li Liu, Jianze Li, Gang Feng et al.*15 citations*
361. **[Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery ↗](https://doi.org/10.21437/interspeech.2019-2224)**Lucas Ondel, Hari Krishna Vydana, Lukáš Burget et al.*15 citations*
362. **[Building Large-Vocabulary ASR Systems for Languages Without Any Audio Training Data ↗](https://doi.org/10.21437/interspeech.2019-1775)**Manasa Prasad, Daan van Esch, Sandy Ritchie et al.*15 citations*
363. **[Compression of Acoustic Event Detection Models with Quantized Distillation ↗](https://doi.org/10.21437/interspeech.2019-1747)**Bowen Shi, Ming Sun, Chieh-Chi Kao et al.*15 citations*
364. **[Early Identification of Speech Changes Due to Amyotrophic Lateral Sclerosis Using Machine Classification ↗](https://doi.org/10.21437/interspeech.2019-2967)**Sarah E. Gutz, Jun Wang, Yana Yunusova et al.*15 citations*
365. **[Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-1774)**Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo et al.*15 citations*
366. **[LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading ↗](https://doi.org/10.21437/interspeech.2019-1393)**Leyuan Qu, Cornelius Weber, Stefan Wermter*15 citations*
367. **[Multi-Microphone Adaptive Noise Cancellation for Robust Hotword Detection ↗](https://doi.org/10.21437/interspeech.2019-3006)**Yiteng Arden Huang, Turaj Zakizadeh Shabestary, Alexander Gruenstein et al.*15 citations*
368. **[Multi-Span Acoustic Modelling Using Raw Waveform Signals ↗](https://doi.org/10.21437/interspeech.2019-2454)**Patrick von Platen, Chao Zhang, Philip C. Woodland*15 citations*
369. **[One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic Posteriorgrams ↗](https://doi.org/10.21437/interspeech.2019-1798)**Seyed Hamidreza Mohammadi, Tae-Hwan Kim*15 citations*
370. **[Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech ↗](https://doi.org/10.21437/interspeech.2019-2636)**Gabriel Mittag, Sebastian Möller*15 citations*
371. **[Towards a Speaker Independent Speech-BCI Using Speaker Adaptation ↗](https://doi.org/10.21437/interspeech.2019-3109)**Debadatta Dash, Alan A. Wisler, Paul Ferrari et al.*15 citations*
372. **[Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-1582)**Zheng Lian, Jianhua Tao, Bin Liu et al.*15 citations*
373. **[Using Pupil Dilation to Measure Cognitive Load When Listening to Text-to-Speech in Quiet and in Noise ↗](https://doi.org/10.21437/interspeech.2019-1783)**Avashna Govender, Anita E. Wagner, Simon King*15 citations*
374. **[A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective ↗](https://doi.org/10.21437/interspeech.2019-2512)**Ravi Shankar, Jacob Sager, Archana Venkataraman*14 citations*
375. **[Analysis of Effect and Timing of Fillers in Natural Turn-Taking ↗](https://doi.org/10.21437/interspeech.2019-1527)**Divesh Lala, Shizuka Nakamura, Tatsuya Kawahara*14 citations*
376. **[Extracting Mel-Frequency and Bark-Frequency Cepstral Coefficients from Encrypted Signals ↗](https://doi.org/10.21437/interspeech.2019-1136)**Patricia Thaine, Gerald Penn*14 citations*
377. **[Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System ↗](https://doi.org/10.21437/interspeech.2019-1300)**Ming-Hsiang Su, Chung‐Hsien Wu, Yi Chang*14 citations*
378. **[Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2243)**Rupayan Chakraborty, Ashish Panda, Meghna Abhishek Pandharipande et al.*14 citations*
379. **[Improving Speech Synthesis with Discourse Relations ↗](https://doi.org/10.21437/interspeech.2019-1945)**Adèle Aubin, Alessandra Cervone, Oliver Watts et al.*14 citations*
380. **[Intel Far-Field Speaker Recognition System for VOiCES Challenge 2019 ↗](https://doi.org/10.21437/interspeech.2019-2894)**Jonathan Huang, Tobias Bocklet*14 citations*
381. **[Kite: Automatic Speech Recognition for Unmanned Aerial Vehicles ↗](https://doi.org/10.21437/interspeech.2019-1390)**Dan Oneaţă, Horia Cucu*14 citations*
382. **[Knowledge-Based Linguistic Encoding for End-to-End Mandarin Text-to-Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-1118)**Jingbei Li, Zhiyong Wu, Runnan Li et al.*14 citations*
383. **[Mirroring to Build Trust in Digital Assistants ↗](https://doi.org/10.21437/interspeech.2019-1829)**Katherine Metcalf, Barry-John Theobald, Garrett Weinberg et al.*14 citations*
384. **[Modeling Interpersonal Linguistic Coordination in Conversations Using Word Mover’s Distance ↗](https://doi.org/10.21437/interspeech.2019-1900)**Md Nasir, Sandeep Nallan Chakravarthula, Brian Baucom et al.*14 citations*
385. **[On the Use of Pitch Features for Disordered Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2609)**Shansong Liu, Shoukang Hu, Xunying Liu et al.*14 citations*
386. **[Optimizing Voice Activity Detection for Noisy Conditions ↗](https://doi.org/10.21437/interspeech.2019-1776)**Ruixi Lin, Charles Costello, Charles Jankowski et al.*14 citations*
387. **[Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models ↗](https://doi.org/10.21437/interspeech.2019-1868)**Ke Hu, Antoine Bruguier, Tara N. Sainath et al.*14 citations*
388. **[Robust Bayesian and Light Neural Networks for Voice Spoofing Detection ↗](https://doi.org/10.21437/interspeech.2019-2676)**Radosław Białobrzeski, Michał Kośmider, Mateusz Matuszewski et al.*14 citations*
389. **[ToneNet: A CNN Model of Tone Classification of Mandarin Chinese ↗](https://doi.org/10.21437/interspeech.2019-1483)**Qiang Gao, Shutao Sun, Yaping Yang*14 citations*
390. **[Towards Bilingual Lexicon Discovery From Visually Grounded Speech Audio ↗](https://doi.org/10.21437/interspeech.2019-1718)**Emmanuel Azuh, David F. Harwath, James Glass*14 citations*
391. **[Transfer-Representation Learning for Detecting Spoofing Attacks with Converted and Synthesized Speech in Automatic Speaker Verification System ↗](https://doi.org/10.21437/interspeech.2019-2014)**Su-Yu Chang, Kaicheng Wu, Chia-Ping Chen*14 citations*
392. **[A Chinese Dataset for Identifying Speakers in Novels ↗](https://doi.org/10.21437/interspeech.2019-1614)**Jiaxiang Chen, Zhen-Hua Ling, Li-Rong Dai*13 citations*
393. **[Age-Related Changes in European Portuguese Vowel Acoustics ↗](https://doi.org/10.21437/interspeech.2019-1818)**Luciana Albuquerque, Catarina Oliveira, António J. S. Teixeira et al.*13 citations*
394. **[An Incremental Turn-Taking Model for Task-Oriented Dialog Systems ↗](https://doi.org/10.21437/interspeech.2019-1826)**Andrei Catalin Coman, Koichiro Yoshino, Yukitoshi Murase et al.*13 citations*
395. **[Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead ↗](https://doi.org/10.21437/interspeech.2019-2889)**Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange et al.*13 citations*
396. **[Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2406)**Xinzhou Xu, Jun Deng, Nicholas Cummins et al.*13 citations*
397. **[Deep Hashing for Speaker Identification and Retrieval ↗](https://doi.org/10.21437/interspeech.2019-2457)**Lei Fan, Qing-Yuan Jiang, Ya-Qi Yu et al.*13 citations*
398. **[Expressiveness Influences Human Vocal Alignment Toward voice-AI ↗](https://doi.org/10.21437/interspeech.2019-1368)**Michelle Cohn, Georgia Zellou*13 citations*
399. **[IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network ↗](https://doi.org/10.21437/interspeech.2019-1207)**Yu-Chen Lin, Yi-Te Hsu, Szu‐Wei Fu et al.*13 citations*
400. **[Identifying Distinctive Acoustic and Spectral Features in Parkinson’s Disease ↗](https://doi.org/10.21437/interspeech.2019-2465)**Yermiyahu Hauptman, Ruth Aloni-Lavi, Itshak Lapidot et al.*13 citations*

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