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In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data

By Nishant Prateek, Mateusz Lajszczak, Thomas Merritt, Srikanth Ronanki, Jaime Lorenzo-Trueba, Trevor Wood, Roberto Barra-Chicote, Thomas Drugman
2019
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Abstract
Neural text-to-speech synthesis (NTTS) models have shown significant progress in generating high-quality speech, however they require a large quantity of training data. This makes creating models for multiple styles expensive and time-consuming. In this paper different styles of speech are analysed based on prosodic variations, from this a model is proposed to synthesise speech in the style of a newscaster, with just a few hours of supplementary data. We pose the problem of synthesising in a target style using limited data as that of creating a bi-style model that can synthesise both neutral-style and newscasterstyle speech via a one-hot vector which factorises the two styles. We also propose conditioning the model on contextual word embeddings, and extensively evaluate it against neutral NTTS, and neutral concatenativebased synthesis. This model closes the gap in perceived style-appropriateness between natural recordings for newscaster-style of speech, and neutral speech synthesis by approximately two-thirds.
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Job summaryAmazon is investing heavily in building a customer centric, world class advertising business across its many unique audio, video, and display surfaces. We are looking for an Applied Scientist who has a deep passion for building machine-learning solutions in our advertising decision system. In this role, you will be on the cutting edge of developing monetization solutions for Live TV, Connected TV and streaming Audio. These are nascent, high growth areas, where advertising monetization is an important, fully integrated part of the core strategy for each business.Key job responsibilities· Rapidly design, prototype and test machine learning algorithms for optimizing advertising reach, frequency and return on advertising spend· Build systems that extract and process volumes of disparate data using a variety of econometric and machine learning approaches. These systems should be designed to scale with exponential growth in data and run continuously.· Leverage knowledge of advanced software system and algorithm development to build our measurement and optimization engine.· Contribute intellectual property through patent generation.· Functionally decompose complex problems into simple, straight-forward solutions.· Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.A day in the lifeAs an Applied Scientist, you will be tasked with leading innovations in machine learning algorithms to deliver ads across platforms influencing product features and architectural choices for decision making systems. You will need to work with data scientists to invent elegant metrics and associated measurement models, and develop algorithms that help advertisers test and learn the impact of advertising strategies across channels on these metrics while ensuring a great customer experience.
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US, CA, San Francisco
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Sr. Data Scientist
US, WA, Seattle
Job summaryJoin us in the evolution of Amazon’s consumer business!The Brand Program and Selling Partner Development organization is the growth and development engine for our Store. Our business grows when our Selling Partners (SPs) businesses’ grow. We aspire to make Amazon the best place for Selling Partners to sell and measure our progress towards this goal through a combination of metrics. We make it easy and predictable for Selling Partners to achieve a great Customer Experience. We believe all motivated Selling Partners that provide a great Customer Experience should be able to grow their business on Amazon either guided by unambiguous self-service tools or by a named Account Manager (AM) working from the same set of recommendations and insights. By ensuring that the same set of recommendations and insights are used, we democratize growth, increase predictability and build trust with our SPs. Our front line AMs drive a virtuous flywheel of learning, experimentation, development and scale that accelerates our store and improves the Customer Experience.We have numerous, durable, deep, technical and interesting problems for Sr. Data Scientist to own. We are looking for a Sr. Data Scientist to design and implement deep tools, insights, metrics and models (inclusive of AI) to lead our systems and tools. You will work with a range of strategic functions within the consumer organization. Our broader org. certainly embodies a start-up mentality. You will work closely with data engineers, software developers, product managers to come up with solution end-to-end with cutting edge machine learning and AI technologies.
Applied Scientist, AWS AI
US, WA, Seattle
Job summaryAmazon AI is looking for world class scientists to join its AI Lab. This group is entrusted with developing core machine learning algorithms for AWS. As a part of the AI Lab you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore novel solutions to new problems at scale. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Key job responsibilitiesThe main focus of a scientist on the team is to use and develop cutting edge science to build new features that will delight our customers. Scientists own their features from research to implementation and production.A day in the lifeScientists works closely with our partners in engineering and product as well as directly with customers. They write production quality code to implement new features. Scientists produce customer-obsessed research to drive the development of new features which we publish in top-tier conferences.About the teamWe are a science team focusing on anomaly detection and related fields. We work closely with other science teams in forecasting, recommender systems, and causality. We deliver state-of-the-art ML solutions for our customers and publish our research in top-tier conferences and journals.
Applied Science Manager, Fashion Innovation
US, CA, Santa Monica
Job summaryAre you passionate about building systems that process massive amounts of data? Are you excited by developing and productizing machine learning, deep learning and computer vision algorithms on the edge and/or on the cloud? Do you enjoy working with a huge diversity of engineers, scientists, and user-experience researchers? If so, you have found the right match!The Fashion Innovation tech team at Amazon is working to redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader and manager to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will manage a team of talented individuals, innovate in a start-up mode, and partner with business teams to deliver customer experiences that disrupt status quo.The ideal candidate is a strong, creative and highly-motivated individual with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You manage a team doing independent research to develop non-trivial Machine learning solutions. You will serve as a technical lead on the team and mentor scientists and engineers. You will also actively contribute to Amazon's Intellectual Property through patents and/or external publications.Key job responsibilities· Lead complex projects that design and build computer vision and deep neural network models to solve a customer facing usecase in fashion space.· Collaborate with product managers, program managers, UX researchers/designers, and engineering teams to transform the apparel shopping experience for Amazon customers.· Perform hands-on data analysis, build machine-learning models and communicate the impact to senior management.· Drive continued scientific innovation as a thought leader in the team.· Lead and mentor Applied Scientists and Engineers in the team.A day in the lifeYou will build and lead a diverse team of Applied Scientists and Software development engineers to solve a variety of technical challenges. You will own the technology roadmap that will drive future products and features that directly affect our growth in this critical space. You will partner with Product Managers, UX designers, and Engineering leaders on the development and execution of a technical roadmap that includes Machine Learning (ML), Computer Vision (CV), 3D visualization, and other emerging technologies. You'll interact regularly with senior leadership as you bring your vision to life.About the teamThe Fashion Innovation tech team at Amazon is working to redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning.
Data Scientist, Employee Experience
US, WA, Seattle
Job summaryAre you passionate about making real-world impact on the lives of over one million Amazon employees? Do you want to use science and data-driven methods to build Earth’s best employer and safest place to work? If your answers to these questions are “yes”, then come join the Employee Experience (EX) science team within People Experience and Technology (PXT) at Amazon. Through science, research, and technology, the team’s mission is to improve the employee experience for all Amazonians.As a Data Scientist on the EX science team, you will lead key science initiatives and deliver insights that enable Amazon to create a great employee experience. In this role, you will apply advanced analysis techniques and statistical concepts to draw insights from datasets, create intuitive data visualizations, and build scalable machine learning models. You will work closely with other scientists (data, research, and applied scientists), business intelligence engineers, and product managers to obtain relevant datasets and prototype predictive analytic models. You will team up with data engineers and software development engineers to implement data pipeline to productionize your models and review key results with business leaders and stakeholders.We are looking for someone who can work with ambiguous business problems and navigate complex and dynamic business environments. In this role, you will develop, execute, and deliver on detailed technical roadmap that influences across organizations. The successful candidate is able to make complex trade-offs between technical and business requirements and has experience striking a balance between scientific validity and business practicality in their work. They also have the ability to effectively communicate technical results to a business audience in order to influence key leadership decisions.Key job responsibilities• Create innovative, sophisticated analytic models to address critical issues but also meet key business criteria (cost/risk/business impact) and key technical criteria (reliability/validity/predictability).• Apply machine learning techniques and statistical methods to automatically identify trends, patterns and frictions in the employee experience.• Interview stakeholders to incorporate business requirements and inputs from research, science, product, and engineering partners and translate them into concrete requirements for data science projects.• Define and conduct experiments and communicate insights and recommendations to product, engineering, and business teams.• Work with data engineers and software development engineers to deploy models and experiments to production.• A clear passion for making a positive impact on employees' lives through your work.• Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches.• Identify and recommend opportunities to automate systems, tools, and processes.• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes.
Senior Economist, EU Economics
GB, London
The EU Economics team is a central science team working across a variety of topics in the EU Retail business and beyond. We work closely EU business leaders to drive change at Amazon.We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with EU- and US-based interdisciplinary teams.We are looking for a Senior Economist who is able to provide structure around complex business problems, hone those complex problems into specific, scientific questions, and test those questions to generate insights. The ideal candidate will work with various science, engineering, operations and analytics teams to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale.If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.Key job responsibilities· Provide data-driven guidance and recommendations on strategic questions facing the EU Retail leadership· Scope, design and implement version-zero (V0) models and experiments to kickstart new initiatives, thinking, and drive system-level changes across Amazon· Build a long-term research agenda to understand, break down, and tackle the most stubborn and ambiguous business challenges· Influence business leaders and work closely with other scientists at Amazon to deliver measurable progress and change
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