Robust Multi-Channel Speech Recognition using Frequency Aligned Network

By Taejin Park, Kenichi Kumatani, Minhua Wu, Shiva Sundaram
2020
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Abstract
Conventional speech enhancement techniques such as beamforming have known benefits for far-field speech recognition. Our own work in frequency-domain multi-channel acoustic modeling has shown additional improvements by training a spatial filtering layer jointly within an acoustic model. In this paper, we further develop this idea and use a frequency-aligned network for robust multi-channel automatic speech recognition (ASR). Unlike an affine layer in the frequency domain, the proposed frequency-aligned component prevents one frequency bin influencing other frequency bins. We show that this modification not only reduces the number of parameters in the model but also significantly improves the ASR performance. We investigate effects of frequency-aligned networks through ASR experiments on the real-world far-field data where users are interacting with an ASR system in uncontrolled acoustic environments. We show that our multi-channel acoustic model with a frequency-aligned network shows up to 18% relative reduction in word error rate.
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Job summaryCome build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.As part of the Prime Video Automated Excellence organization, the Automated Reasoning team applies deep and cutting-edge automated reasoning techniques to detect defects automatically in Prime Video’s core systems and device-level code. The tools we build are mission-critical to the software development and release cycle of many Prime Video engineering organizations, and will represent a huge step forward in the sophistication of our approach to automated software quality. Your work on this team will help us address a new dimension of scale our business faces as we deliver our applications on an ever-expanding set of client devices.Key job responsibilitiesYou will have the opportunity to apply your deep knowledge of automated reasoning techniques, such as static analysis, formal verification, symbolic execution, etc., to concrete problems our product and engineering teams face on a daily basis. You will collaborate with team members to design and deliver enterprise-scale systems that will be used by both internal and external customers. You will have the opportunity to analyse and verify code to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept. You will help set and continuously evolve a culture of innovation and curiosity that helps us find and solve our customers’ biggest problems.About the teamTo help a growing organization quickly deliver more features to Prime Video customers, Prime Video’s Automated Excellence organization is innovating on behalf of our global software development team consisting of thousands of engineers. We build services and utilities that make developer’s lives easier and more productive, and that help them deliver at higher levels of quality.
US, CA, Sunnyvale
Job summaryThe Amazon Alexa app is a companion to Alexa devices for setup, remote control, and enhanced features. The Alexa app understands a customer’s habits, preferences and delivers a personalized experience to help them manage their day by providing relevant information as customers want it. We believe voice is the most natural user interface for interacting with technology across many domains; we are inventing the future. As voice-enabled technology becomes increasingly advanced, consumers are demanding more from what their voice products can do. We’re looking for Scientists who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history.As an Senior Data Scientist, you will help build a production scaled personalized recommendation and lead the team to build Machine Learning (ML) and Deep Learning (DL) models to help derive business value and new insights through the adoption of Artificial Intelligence (AI).Key job responsibilitiesThe successful candidate will be responsible for distilling user data insights for ML science applications and influence business decision with data-driven approach to increase Alexa mobile engagement and growth. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.· Define the long-term development, science and business strategies for the team.· Expertise in the areas of data science, machine learning and statistics.· Translate business needs into advanced analytics and machine learning models and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence.· Work closely with the engineers to architect and develop the best technical design and approach.· Being able to dive a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.· Analyze, extract, normalize, and label relevant data.· Work with Engineers to help our customers operationalize models after they are built.A day in the life· Design and review mobile experiments for growth and engagement· Build statistical models and generate data insights to understand mobile growth and retention· Feature engineering to improve ML model performance.· Analyze, extract, normalize, and label relevant data.· Work with Engineers to deploy applications to production· Work with product manager to convert business problems to science problems and define the solutions.About the teamAlexa Mobile Intelligence team is motivated to make Alexa mobile app being the best intelligent assistant and providing personalized relevant features and content by understanding customers' habits, preferences, hence will reach high growth and retention for the app.
US, CA, San Diego
Job summaryAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Key job responsibilitiesAt Customer Trust and Partner Support, we work hard to build trust with both Amazon Customers and Selling Partners. The role offers a unique opportunity to work in a fast growing business at an intersection between Customers and Selling Partners. You will work on a central economist team focused on building scalable analytical solutions for shaping the strategies of the business.We are looking for a seasoned Economist who has a deep and broad analytic background, and is passionate about helping business to make data- and science-based decisions to make a real difference. Experience in applied analytics is essential, and you should be familiar with modern tools for data science and business analysis. We seek creative thinkers and practical doers who can think big and who can also roll up sleeves and execute on these big ideas.A day in the lifeAs a senior economist on the team, you will partner with our business and engineering partners to deliver innovative modeling solutions to help Selling partners and Brands to thrive on Amazon and to ensure a smooth and trustworthy experience for our Customers. This is an opportunity for a high-energy individual to bring economics and Machine Learning techniques into real world applications, to build scalable solutions to systematically deliver impacts to millions of Customers and Selling Partners, and to communicate insights to business and leadership.About the teamAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.
US, CA, Long Beach
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.This role will work in Global Shipping, Our vision is to become the carrier of choice for all of our Selling Partners cross-border shipping needs, offering complete set of end to end cross border solutions from key manufacturing hubs to footprint countries supporting business who use Amazon to grow their business globally.The Global Mile Business Development and strategy team are responsible for growing our global shipping product over the coming years. We have Sales and Marketing, analytical, strategy and forecasting functions and work with a large product and tech team, globally.As we expand, the need for robust demand forecasting to aid decision making on asset utilization especially where we know demand will be variable becomes vital. We are investing in enhanced data and improved modelling techniques, and are now in need of an experienced economist to lead and manage our forecasting and scenario planning function.