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Meet the Alexa team at Interspeech!
The Alexa Machine Learning team looks forward to meeting you at Interspeech 2017! Come and visit our booth to learn more about our research and career opportunities. For an overview of the conference, click here. Read on for more information about our technology and team.
What is Alexa?
Amazon Alexa is leading the way in making spoken language the next user interface paradigm. Alexa is the voice service that powers Amazon’s family of Echo products, Amazon Fire TV, and other third party products. Echo is a device that you can talk to from across the room to play music, get the news, control lights and your thermostat and more.
Technologies We Focus On
The Alexa Science and Machine Learning team made the magic of Alexa possible, but that was just the beginning. Our goal is to make voice interfaces ubiquitous and as natural as speaking to a human. We have a relentless focus on the customer experience and customer feedback. We use many real-world data sources including customer interactions and a variety of techniques like highly scalable deep learning. Learning at this massive scale requires new research and development. The team is responsible for cutting-edge research and development in virtually all fields of Human Language Technology: Automatic Speech Recognition (ASR), Artificial Intelligence (AI), Natural Language Understanding (NLU), Question Answering, Dialog Management, and Text-to-Speech (TTS). See an interview with VP Rohit Prasad here.
Alexa Scientists and Developers have large-scale impact on customer’s lives and on the industry-wide shift to voice user interfaces. Scientists and engineers in the Alexa team also invent new tools and APIs to accelerate development of voice services by empowering developers through the Alexa Skills Kit and the Alexa Voice Service. For example, developers can now create a new voice experience by simply providing a few sample sentences.
We also look outward. Your discoveries in speech recognition, natural language understanding, deep learning, and other disciplines of machine learning can fuel new ideas and applications that have direct impact on peoples’ lives. We firmly believe that our team must engage deeply with the academic community and be part of the scientific discourse. There are many opportunities for presentations at internal Machine Learning conferences, which acts as a springboard for publications at premier conferences. We also partner with universities through the Alexa Prize.
Past Interspeech publications and submissions from the Amazon team are listed below.
- Roland Maas, Ariya Rastrow, Kyle Goehner, Gautam Tiwari, Shaun Joseph, Bjorn Hoffmeister, "Domain-Specific Utterance End-Point Detection for Speech Recognition,” to appear at Interspeech 2017.
- Anjishnu Kumar, Pavankumar Muddireddy, Markus Dreyer, Bjorn Hoffmeister, "Zero-Shot Learning across Heterogenous Overlapping Domains," to appear at Interspeech 2017.
- Brian King, I-Fan Chen, Yonatan Vaizman, Yuzong Liu, Roland Maas, SHK (Hari) Parthasarathi, Bjorn Hoffmeister, "Robust Speech Recognition Via Anchor Word Representations," to appear at Interspeech 2017.
- Harish Arsikere, Sri Garimella, "Robust online i-vectors for unsupervised adaptation of DNN acoustic models: A study in the context of digital voice assistants" to appear at Interspeech 2017.
- Ming Sun, David Snyder, Yixin Gao, Varun Nagaraja, Mike Rodehorst, Sankaran Panchapagesan, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni, "Compressed time delay neural network for small-footprint keyword spotting," to appear at Interspeech 2017.
- Viacheslav Klimkov, Adam Nadolski, Alexis Moinet, Bartosz Putrycz, Roberto Barra-Chicote, Thomas Merritt, Thomas Drugman, "Phrase break prediction for long-form reading TTS: exploiting text structure information" to appear at Interspeech 2017.
Meet the Team
Are you ready for your next opportunity? Check out our open positions on this page, and meet some of our speech scientists here. We have global opportunities available, and speech and machine learning scientists will be available to meet at Interspeech.
If you would like to meet with a speech scientist in person at the conference from the list below, please contact firstname.lastname@example.org.
|Andreas Schwarz||Aachen||Applied Scientist|
|Deniz Gunceler||Aachen||Applied Scientist|
|Janne Pylkkoenen||Aachen||Sr. Scientist|
|Max Bisani||Aachen||Sr. Manager, Applied Science|
|Reinhard Kneser||Aachen||Sr. Scientist|
|Sungho Ryu||Aachen||Applied Scientist|
|Volker Leutnant||Aachen||Manager, Applied Science|
|Aaron Challenner||Boston||Sr. Software Engineer|
|Janet Slifka||Boston||Sr Manager, Data Science|
|Rohit Prasad||Boston||VP and Head Scientist|
|Shiv Naga Prasad Vitaladevuni||Boston||Sr Manager, Applied Science|
|Varun Nagaraja||Boston||Applied Scientist|
|Sri Garimella||India||Manager, Applied Science|
|Nik Wolfe||Pittsburgh||Applied Scientist|
|Ariya Rastrow||Seattle||Principal Applied Scientist|
|Dongchan Kim||Seattle||Software Engineer|
|Marie- Renee Arend||Seattle||Technical Program Manager|
|Nikko Strom||Seattle||Sr. Principal Applied Scientist|
|Rajiv Reddy||Seattle||Sr. Technical Program Manager|
|Ruhi Sarikya||Seattle||Director of Applied Science|
|Young-bum Kim||Seattle||Sr. Scientist|
|Aparna Khare||Sunnyvale||Applied Scientist|
|Shiva Sundaram||Sunnyvale||Sr. Applied Sceintist|
|Trausti Kristjansson||Sunnyvale||Research Science Manager|
|Catherine Breslin||UK||Manager, Applied Science|
|Javier Latorre||UK||Applied Scientist|
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