Artificial Intelligence
Global Text-to-Speech (Software, Services) Market 2021-2026 – Growing Inclination Toward Cloud-Based Deployment Mode
Dublin, Feb. 18, 2021 (GLOBE NEWSWIRE) — The “Global Text-to-Speech Market with COVID-19 Impact Analysis by Offering (Software, Services), Vertical (Enterprise, Consumer Electronics, Education, Retail), Deployment, Language, Organization Size, Voice Type, and Geography – Forecast 2026” report has been added to ResearchAndMarkets.com’s offering.
The global text-to-speech market was valued at USD 2 billion in 2020 and is estimated to reach USD 5 billion by 2026, registering a CAGR of 14.6% during the forecast period.
The rising demand for handheld devices, increased government spending on education for differently-abled, the dependence of the growing elderly population on technology, and the rising number of people with different learning disabilities or learning styles are factors driving the growth of the text-to-speech market. However, the lack of prosody and pronunciation of naturally occurring speech may restrain the growth of the market during the review period.
Large Enterprises are the leading adopters of text-to-speech software and services in 2020
Large enterprises are the leading adopters of text-to-speech software and services with the increasing need for speech recognition, virtual assistants, and chatbots. Hence, large enterprises accounted for significant share in 2020. SMEs have been gradually recognizing the importance of text-to-speech solutions and have started deploying them to enhance customer experience and gain a leading edge in the market. Owing to the availability of cost-effective cloud solutions, text-to-speech software and services are expected to witness a prominent growth rate among SMEs during the forecast period.
English and Mandarin Chinese, by language in the text-to-speech market, will hold the highest and second-highest share in the coming years
The demand for English and Mandarin Chinese languages in text-to-speech software tends to increase as roughly 1.1 billion or 15% of the global population can speak English followed by Mandarin Chinese, Hindi, and Spanish. The English language holds a major share of the text-to-speech market in 2020 while the market for Spanish is expected to grow at the highest CAGR during the forecast period of 2021-2026.
APAC is attributed to grow at the highest CAGR in the text-to-speech market during the forecast period
APAC is witnessing increased traction for speech recognition solutions integrated with text-to-speech due to growing penetration of AI, analytics, and IoT devices in the region. This is creating a favorable market environment, and the region is witnessing rising adoption of voice-activated technology in the Asian markets, such as India, China, Indonesia, Australia, Japan, and Singapore. The countries are developing various favorable policies to increase AI penetration among enterprises for improving industry performance and customer experience.
This has proliferated the use of Intelligent Virtual Assistant (IVA), chatbots, and smart speakers in the daily activities of people. In Japan and China, text-to-speech systems have been deployed at airports and ATMs. Other countries, such as Singapore, Hong Kong, Indonesia, and Malaysia, are looking forward to integrating new technologies into their businesses.
The market is dominated by Nuance Communication (US), Microsoft Corporation (US), IBM Corporation (US), Google, Inc. (US) and Amazon.com (US).
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Market Opportunities in Text-To-Speech Market
4.2 Market Analysis, by Language
4.3 Market Analysis, by Vertical
4.4 Market Analysis, by Voice Type
4.5 Market Share, by Region
5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rising Preference for Handheld Devices
5.2.1.2 Increased Government Spending on Education of Differently-Abled Students
5.2.1.3 Dependence of Growing Elderly Population on Technology
5.2.1.4 Increasing Number of People with Different Learning Disabilities
5.2.2 Restraints
5.2.2.1 Complexity in Generating Prosody and Pronunciation of Naturally Occurring Speech
5.2.3 Opportunities
5.2.3.1 Seamless Communication Between Human Beings and Robots
5.2.3.2 Growing Artificial Intelligence Market
5.2.3.3 Text-To-Speech Solutions for Temporarily and Permanently Disabled Students
5.2.3.4 Growing Inclination Toward Cloud-Based Deployment Mode
5.2.4 Challenges
5.2.4.1 Creation of a Generic Acoustic Database That Covers Language Variations
5.2.4.2 Slow Network Speed in a Few Regions Limits Adoption of Cloud-Based Text-To-Speech Services
5.3 Supply Chain Analysis
5.3.1 Core Industry Segments
5.3.1.1 Research and Product Development
5.3.1.2 Manufacturers
5.3.1.3 System Integrators
5.3.1.4 End-users
5.4 Ecosystem
5.5 Porter’s Five Forces AnalysisTable 2 Impact of Each Force on Market
5.6 Pricing Analysis
5.7 Patents Analysis
5.8 Trade Analysis
5.9 Technology Trends
5.9.1 Adoption of Text-To-Speech Solutions by People with Listening Disabilities or Listening Fatigue
5.9.2 Role of AI in Text-To-Speech Market
5.10 Regulatory Implications
5.10.1 Americans with Disabilities Act
5.10.2 Office of Communications
5.10.3 Polish Civil Code
5.10.4 Federal Communications Commission
5.10.5 General Data Protection Regulation
5.11 Impact of COVID-19 on Market
5.11.1 Pre-COVID-19
5.11.2 Post-COVID-19
5.11.3 Vertical Impact
5.11.4 Regional Impact
5.12 Use Cases
6 Text-To-Speech Market, by Offering
6.1 Introduction
6.1.1 COVID-19 Impact Analysis
6.2 Software
6.2.1 Growing Inclination Toward Voice-Based Technology to Surge Demand for Text-To-Speech Software
6.3 Services
6.3.1 Software-as-a-Service
6.3.1.1 SaaS Market is Expected to Grow Five Times Faster Than On-Premises Software Market
6.3.2 Support, Implementation & Consulting
6.3.2.1 Technicalities Involved in Implementing Text-To-Speech and Growing Deployment of Text-To-Speech Software to Boost Demand for Support Services
7 Text-To-Speech Market, by Deployment Mode
7.1 Introduction
7.1.1 COVID-19 Impact Analysis
7.2 On Premises
7.2.1 Data-Sensitive Organizations are Preferring On-Premises Deployment Mode for Text-To-Speech Software
7.3 Cloud Based
7.3.1 Cost-Effectiveness and Scalability to Boost Adoption of Cloud-Based Text-To-Speech Software
8 Text-To-Speech Market, by Voice Type
8.1 Introduction
8.1.1 COVID-19 Impact Analysis
8.2 Neural and Custom Voice
8.2.1 Ability to Create Unique Custom Voice Persona and Synthesis of Lifelike Voices is Driving Adoption of Neural Voice Systems
8.3 Non-Neural
8.3.1 Non-Neural Voices are Comparatively Lower in Price But Have Significant Contribution to Text-To-Speech Market
9 Text-To-Speech Market, by Organization Size
9.1 Introduction
9.1.1 COVID-19 Impact Analysis
9.2 Small and Medium-Sized Enterprises
9.2.1 Availability of Cloud-Based Cost-Effective Solutions to Fuel Adoption of Text-To-Speech Technology in Small and Medium-Sized Enterprises
9.3 Large Enterprises
9.3.1 Increasing Use of Advanced Technologies to Boost Adoption of Text-To-Speech in Large Enterprises
10 Text-To-Speech Market, by Language
10.1 Introduction
10.1.1 COVID-19 Impact Analysis
10.2 English
10.3 Mandarin Chinese
10.4 Hindi
10.4.1 Key Players Include Hindi into Their Availability of Custom/Standard Voices
10.5 Arabic
10.6 Spanish
11 Text-To-Speech Market, by Vertical
11.1 Introduction
11.1.1 COVID-19 Impact Analysis
11.2 Consumer Electronics
11.2.1 Increased Demand for Smartphones and Televisions for Partially Sighted People to Propel Market Growth
11.3 Automotive & Transportation
11.3.1 Text-To-Speech is Expected to Become Commodity Feature in Cars in Near Future
11.4 Healthcare & Life Sciences
11.4.1 Growing Regulatory Requirements and Need for Documentation to Fuel Adoption of Text-To-Speech in Healthcare
11.5 Education
11.5.1 Text-To-Speech Can Act as Assistant Tool for Visually Impaired or People with Disabilities (Dyslexic Readers)
11.6 Banking, Financial Services, and Insurance
11.6.1 Rising Need for Automated Customer Services and Query Resolver to Fuel Adoption of Text-To-Speech in BFSI Vertical
11.7 Retail
11.7.1 Need to Deliver Real-Time Customer Experience Driving Adoption of Text-To-Speech Solutions in Retail and E-Commerce
11.8 Enterprises
11.8.1 The Enterprise Vertical Holds High Growth Potential for Text-To-Speech Technology by Improving Business Performance and Effectiveness
11.9 Travel and Hospitality
11.9.1 Rising Competition Among Players to Drive Adoption of Text-To-Speech in Travel and Hospitality Sector
12 Text-To-Speech Market, by Region
12.1 Introduction
12.1.1 COVID-19 Impact Analysis
13 Competitive Landscape
14 Company Profiles
14.1 Introduction
Key Players
14.2.1 Nuance Communications
14.2.2 Microsoft Corporation
14.2.3 Amazon.com Inc.
14.2.4 Google
14.2.5 IBM
14.2.6 Sensory Inc.
14.2.7 Readspeaker
14.2.8 LumenVox LLC
14.2.9 Acapela Group
14.2.10 CereProc
14.2.11 Speech Enabled Software Technologies (SESTEK)
14.2.12 iFlytek
14.3 Other Company Profiles
14.3.1 TextSpeak
14.3.2 Nextup Technologies
14.3.3 iSpeech
14.3.4 Nexmo Inc.
14.3.5 Baidu, Inc.
14.3.6 Facebook Research
14.3.7 Govivace
14.3.8 GL Communications
For more information about this report visit https://www.researchandmarkets.com/r/s24sm5
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Artificial Intelligence
$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members
D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).
XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
View original content:https://www.prnewswire.co.uk/news-releases/10-million-artificial-intelligence-mathematical-olympiad-prize-appoints-further-advisory-committee-members-302128542.html
Artificial Intelligence
Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024
HANGZHOU, China, April 26, 2024 /PRNewswire/ — Hikvision made a significant appearance at Intertraffic Amsterdam, the leading global trade fair for mobility and traffic technology. At the trade event, Hikvision unveiled a suite of traffic, transport, and parking management solutions and products powered by Artificial Intelligence of Things (AIoT) technology, which promised to improve urban mobility, road safety, and operational efficacy.
Elevating urban traffic intelligence with AIoT
One highlight of the Hikvision stand was its intelligent urban traffic solution, which leveraged the power of AIoT to deliver comprehensive real-time monitoring, incident detection, and traffic control. This solution intelligently reshapes traffic dynamics, offering a more responsive and data-driven approach to enhance situational awareness and traffic management. Key innovations in the solution included:
Hikvision’s radar-video fusion camerasThese combine the range perception of radar with the visual perception of video. The 4 MP Radar and Video Vehicle Detector, for example, helps to enhance road safety by providing early warning of potential hazards in challenging situations such as blind spots at intersections and obstacles outside the visual range.Hikvision’s All-In-One Traffic SpotterThis stands out with its multifaceted design incorporating video, radar, and lighting technologies for heightened traffic violation detection. Its streamlined column design facilitates effortless installation.Hikvision’s Radar-Linked PTZ Camera This ensures consistent performance in adverse weather and lightening conditions, and minimizes false alarms with advanced deep-learning algorithms.Innovating parking management
Hikvision also introduced its parking management solutions. These combine extremely precise license plate recognition and intelligent barrier controls incorporating highly accurate radar sensors. This comprehensive approach enhances security, reduces the need for manual intervention, and streamlines traffic flow across parking areas. The Global Shutter CMOS* (GMOS) ANPR camera was a new addition to the lineup. Designed to seamlessly blend in the environment, it is tailored for the task of discreetly capturing license plates at parking facilities that prioritize subtlety.
Advancing public transportation safety and efficiency
Attendees also had the opportunity to explore Hikvision’s latest public transport solutions, integrating AI-driven analytics with advanced video security, on-site voice broadcasting, and centralized management for enhanced onboard security, improved passenger experience, and operational efficiency for buses and taxis. This included the Four-way monitoring system and the Panoramic Auxiliary System, both designed to reduce blind spots and provide high-definition imaging to improve driving safety.
“As ever, we are continually expanding our suite of technologies to enhance traffic safety and efficiency,” said Nick Wu, Project Product Director at Hikvision Europe. “Our commitment lies in minimizing the need for extensive roadside installations by incorporating comprehensive perception and robust AI within unified device frameworks. These innovations automate and streamline every aspect of traffic management, from violation detection to traffic flow monitoring, driving safety, and parking management.”
To find out more about Hikvision’s urban mobility products and solutions, please explore its official website.
Note: CMOS stands for Complementary Metal-Oxide-Semiconductor.
Photo – https://mma.prnewswire.com/media/2398456/Hikvision_redefines_urban_mobility_AIoT_powered_solutions_Intertraffic_2024.jpgPhoto – https://mma.prnewswire.com/media/2398459/Hikvision_redefines_urban_mobility_AIoT_powered_solutions_Intertraffic_2024.jpg
View original content:https://www.prnewswire.co.uk/news-releases/hikvision-redefines-urban-mobility-with-aiot-powered-solutions-at-intertraffic-2024-302128527.html
Artificial Intelligence
London Blockchain Conference Launches the No Future Campaign
LONDON, April 26, 2024 /PRNewswire/ — The London Blockchain Conference is excited to announce the launch of its ground-breaking, ‘No Future Campaign’. This initiative aims to create a strong narrative surrounding blockchain technology by challenging perceptions and sparking conversations. By creating this platform, the campaign aims to instil a fear of missing out (FOMO) sensation among the audience, positioning the London Blockchain Conference as a gateway to securing a stake in the future and unlocking the potential of blockchain technology.
With a bold and evocative narrative theme, the campaign will initially confront the audience with a jarring reality check of “NO FUTURE” and then resolve the statement “WITHOUT BLOCKCHAIN” to spark curiosity and engagement with the optimistic revelation that blockchain holds the key to a prosperous future.
The ‘No Future Campaign’ started on 17 April 2024 with the London Blockchain Conference creating and executing content on/with media platforms and partnerships:
Wharf Life inserts (17/04/2024) – Print and a digital advert/editorial-sponsored pieces.Animations being released on paid and organic channels in a 3-week campaign.Alex Stein, Conference Director said, “The No Future Campaign is a call for individuals, enterprises, and governments to recognise the importance and role of blockchain in shaping the future. Through the London Blockchain Conference, we aim to educate and inspire attendees to understand and harness the potential of blockchain technology.”
The three-day London Blockchain Conference at the ExCel will bring together politicians, business leaders, and innovators. The conference will be running from 21 – 23 May 2024 and will focus on disruptive and real-world applications of blockchain technology and the impact it is having on politics, emerging technologies, and enterprises.
For more information about the ‘No Future campaign’, visit the London Blockchain Conference website.
About the London Blockchain Conference
NETWORK. LEARN. ENGAGE.
At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself.
View original content:https://www.prnewswire.co.uk/news-releases/london-blockchain-conference-launches-the-no-future-campaign-302128526.html
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