Google at Interspeech 2023 – Google Analysis Weblog
This week, the twenty fourth Annual Conference of the International Speech Communication Association (INTERSPEECH 2023) is being held in Dublin, Eire, representing one of many world’s most intensive conferences on analysis and know-how of spoken language understanding and processing. Specialists in speech-related analysis fields collect to participate in oral shows and poster classes and to construct collaborations throughout the globe.
We’re excited to be a Platinum Sponsor of INTERSPEECH 2023, the place we can be showcasing greater than 20 analysis publications and supporting a lot of workshops and particular classes. We welcome in-person attendees to drop by the Google Analysis sales space to satisfy our researchers and take part in Q&As and demonstrations of a few of our newest speech applied sciences, which assist to enhance accessibility and supply comfort in communication for billions of customers. As well as, on-line attendees are inspired to go to our virtual booth in Topia the place you will get up-to-date info on analysis and alternatives at Google. Go to the @GoogleAI Twitter account to search out out about Google sales space actions (e.g., demos and Q&A classes). You too can be taught extra concerning the Google analysis being offered at INTERSPEECH 2023 under (Google affiliations in daring).
Board and Organizing Committee
ISCA Board, Technical Committee Chair: Bhuvana Ramabhadran
Space Chairs embrace:
Evaluation of Speech and Audio Alerts: Richard Rose
Speech Synthesis and Spoken Language Technology: Rob Clark
Particular Areas: Tara Sainath
Satellite tv for pc occasions
Keynote discuss – ISCA Medalist
Survey Discuss
Speech Compression within the AI Period
Speaker: Jan Skoglund
Particular session papers
Cascaded Encoders for Fine-Tuning ASR Models on Overlapped Speech
Richard Rose, Oscar Chang, Olivier Siohan
TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition
Hakan Erdogan, Scott Knowledge, Xuankai Chang*, Zalán Borsos, Marco Tagliasacchi, Neil Zeghidour, John R. Hershey
Papers
DeePMOS: Deep Posterior Mean-Opinion-Score of Speech
Xinyu Liang, Fredrik Cumlin, Christian Schüldt, Saikat Chatterjee
O-1: Self-Training with Oracle and 1-Best Hypothesis
Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Kartik Audhkhasi
Re-investigating the Efficient Transfer Learning of Speech Foundation Model Using Feature Fusion Methods
Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno
MOS vs. AB: Evaluating Text-to-Speech Systems Reliably Using Clustered Standard Errors
Joshua Camp, Tom Kenter, Lev Finkelstein, Rob Clark
LanSER: Language-Model Supported Speech Emotion Recognition
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
Modular Domain Adaptation for Conformer-Based Streaming ASR
Qiujia Li, Bo Li, Dongseong Hwang, Tara N. Sainath, Pedro M. Mengibar
On Training a Neural Residual Acoustic Echo Suppressor for Improved ASR
Sankaran Panchapagesan, Turaj Zakizadeh Shabestary, Arun Narayanan
MD3: The Multi-dialect Dataset of Dialogues
Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma
Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR
Zelin Wu, Tsendsuren Munkhdalai, Pat Rondon, Golan Pundak, Khe Chai Sim, Christopher Li
Using Text Injection to Improve Recognition of Personal Identifiers in Speech
Yochai Blau, Rohan Agrawal, Lior Madmony, Gary Wang, Andrew Rosenberg, Zhehuai Chen, Zorik Gekhman, Genady Beryozkin, Parisa Haghani, Bhuvana Ramabhadran
How to Estimate Model Transferability of Pre-trained Speech Models?
Zih-Ching Chen, Chao-Han Huck Yang*, Bo Li, Yu Zhang, Nanxin Chen, Shuo-yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
Improving Joint Speech-Text Representations Without Alignment
Cal Peyser, Zhong Meng, Ke Hu, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models
Shaan Bijwadia, Shuo-yiin Chang, Weiran Wang, Zhong Meng, Hao Zhang, Tara N. Sainath
Streaming Parrotron for On-Device Speech-to-Speech Conversion
Oleg Rybakov, Fadi Biadsy, Xia Zhang, Liyang Jiang, Phoenix Meadowlark, Shivani Agrawal
Semantic Segmentation with Bidirectional Language Models Improves Long-Form ASR
W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-yiin Chang, Tara N. Sainath
Universal Automatic Phonetic Transcription into the International Phonetic Alphabet
Chihiro Taguchi, Yusuke Sakai, Parisa Haghani, David Chiang
Mixture-of-Expert Conformer for Streaming Multilingual ASR
Ke Hu, Bo Li, Tara N. Sainath, Yu Zhang, Francoise Beaufays
Real Time Spectrogram Inversion on Mobile Phone
Oleg Rybakov, Marco Tagliasacchi, Yunpeng Li, Liyang Jiang, Xia Zhang, Fadi Biadsy
2-Bit Conformer Quantization for Automatic Speech Recognition
Oleg Rybakov, Phoenix Meadowlark, Shaojin Ding, David Qiu, Jian Li, David Rim, Yanzhang He
LibriTTS-R: A Restored Multi-speaker Text-to-Speech Corpus
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
PronScribe: Highly Accurate Multimodal Phonemic Transcription from Speech and Text
Yang Yu, Matthew Perez*, Ankur Bapna, Fadi Haik, Siamak Tazari, Yu Zhang
Label Aware Speech Representation Learning for Language Identification
Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
* Work finished whereas at Google
