Real-time AI voice technology alters accents in Indian call centers for better clarity - Related to google, games?, accents, personal, makes
Google makes it easier to remove your personal information from search results

In brief: As the dominant gateway to online information, Google's search engine has shaped how people access and discover content. However, search results sometimes expose personal data, raising privacy concerns. A recent upgrade introduces a tool that gives consumers more control over what appears in search results.
Google updated a search engine tool called "Results About You" that it initially rolled out in 2022. Developers have made it more user-friendly and directly integrated its most helpful elements into search results, including the ability to remove your personal data from them.
people must first take a somewhat counterintuitive step to use the tool: inputting their personal information into the system. While potentially alarming for those aiming to protect their privacy, this process is necessary for the tool to identify and manage specific data in search results. However, regardless of whether it appears in search results, Google likely already possesses this information anyway.
One of the most significant improvements in this modification is the integration of its key aspects directly into search results. While not prominently displayed, consumers can access Results About You through the three-dot menu next to each search result. This menu includes options to remove results containing personal information.
When requesting the removal of personal information, Google prompts clients for additional details, a process that typically takes only a few seconds. The interface also accommodates non-personal removal requests, such as reporting illegal content. All requests are logged in the "Results About You" tool for later review. It's crucial to note that Google can only remove content from its search results, not the web pages containing it.
The redesigned hub allows individuals to monitor the status of their removal requests and offers additional capabilities. For instance, individuals can request a data refresh if a search result contains inaccurate information. This option is useful when a website has removed personal data, but the search results haven't updated.
It is not the first Google has overhauled the tool. In 2023, it introduced a suite of functions that made it more proactive, actively scanning search results for individuals' data. Developers added an expanded dashboard, giving individuals a more comprehensive view of their personal information in Search. It also added the ability to request the removal of nonconsensual explicit images from search results.
Google recommends regularly checking the Results About You hub. The tool automatically identifies new instances of previously highlighted personal data, allowing people to request removals quickly. Additionally, people can receive notifications via phone or email when new personal information emerges in search results.
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Real-time AI voice technology alters accents in Indian call centers for better clarity

Teleperformance SE, the world's largest call center operator, is implementing an artificial intelligence system designed to soften the accents of English-speaking Indian workers in real-time. The organization asserts this technology will enhance customer understanding and satisfaction.
"When you have an Indian agent on the line, sometimes it's hard to hear, to understand," Deputy Chief Executive Officer Thomas Mackenbrock told Bloomberg. "[This technology can] neutralize the accent of the Indian speaker with zero latency, [creates] more intimacy, increases the customer satisfaction, and reduces the average handling time."
The technology analyzes speech input and modifies it to match a specified accent while preserving the speaker's original voice and emotion. The system uses speech recognition to capture the speaker's voice in real-time. Advanced algorithms then transcribe the spoken words into text, accounting for various accents and speech patterns. Once the system transcribes the speech, the core accent translation process analyzes the speaker's accent and pronunciation patterns. Then, it applies AI models trained on datasets of various accents to modify the voice.
During the conversion, the software modifies intonation, stress patterns, and phoneme pronunciation to align with the target accent. The system employs text-to-speech (TTS) technology to synthesize the phonetic pattern and convert the text into a synthesized voice that maintains the speaker's original tone, emotion, and identity.
Teleperformance is deploying technology with background noise cancellation in Indian call centers, providing customer support for international clients. Its end-consumers include major tech companies like Apple, TikTok, and Samsung Electronics.
The technology is part of a larger Teleperformance AI investment strategy. The enterprise plans to invest up to €100 million ($104 million) in AI partnerships in 2025. Palo Alto-based startup Sanas developed the accent technology after a $13 million Teleperformance investment earlier this year.
The software comes as the call center industry faces challenges from the rise of AI chatbots. Last year, Teleperformance experienced a significant drop in share prices after Swedish fintech firm Klarna Bank revealed that its AI assistant was doing the work equivalent to 700 full-time agents. In response, Teleperformance has focused on using AI to enhance rather than replace its workforce of 490,000 employees.
Sanas states that its goal is to reduce "accent-based discrimination." However, while the software may not replace workers directly, there are concerns about the potential impact on call centers in places like the Philippines, which have built their market position on high-quality English speakers.
Currently, the software supports Indian and Filipino inflections. Sanas is developing versions for other regions, including Latin America. Mackenbrock emphasized that while AI will be ubiquitous, "the human element will be incredibly key" in building connections and enhancing customer experiences.
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Seeing food in VR games? This sensor will put the real taste in your mouth

Table of Contents Table of Contents How it works? The possibilities for VR, and beyond The road to a realistic metaverse.
Over the past few years, researchers have tried to make virtual reality (VR) experiences even more immersive and personal. For example, back in 2022, the experts over at Stockholm University created a machine called olfactometer, which let individuals smell what they were seeing in a game while wearing a VR headset.
But smell is only half the picture. What if you could actually deliver a real taste on the tongue? A team from the Ohio State University have created a sensing system called e-Taste that can replicate the taste of a real food items and drinks, and deliver it straight to another person’s tongue living hundreds of miles away.
The e-Taste consists of two components — a taster and a receiver. The sensor contains a special patch that can detect the fundamental molecules responsible for the five varieties of taste viz. bitter, salty, sour, sweet, and umami. As part of their research, the team focused on detecting glucose and glutamate on the sensor patch.
During the tests, a California-based person sipping lemonade dipped the taster patch inside the beverage. The sensor patch detected the concentration of target chemicals in the lemonade, and transmitted that electrochemical data to the receiver kit sitting in an Ohio lab.
The receiver part includes a patch that rests on the tongue and a pump connected to a liquid channel of solutions. When stimulated electrically, the liquid passes through a gel-based system onto a person’s tongue, providing a realistic sense of tasting food.
The specific taste and its intensity can be adjusted by changing the volume of fluid discharged by the pump. During the human trials, the participants wearing the receiver kit were able to identify different levels of sourness with a 70% accuracy.
“Beyond helping to build a superior and more dynamic gaming experience, the study notes that the work could be useful in promoting accessibility and inclusivity in virtual spaces for individuals with disabilities, like those with traumatic brain injuries or Long Covid, which brought gustatory loss to mainstream attention,” says the team.
It could also help with identification and tasting of potential food findings in harsh conditions, online shopping, remote education, quality monitoring for freshness and consistency by robotic machines and remote analysis of taste perception by doctors.
The team tested e-Taste over two network protocols. The short-range implementation covered a distance of 200 meters, while the long-range design relies on an internet connection with no limit on the distance involved.
“This concept is here and it is a good first step to becoming a small part of the metaverse,” says Jinghua Li, co-author of the paper and faculty member at the institution.
This won’t be the first attempt of its kind to augment the VR experience with a sense of smell or taste. Two years ago, OVR revealed the ION 3 wearable kit for XR hardware that can produce hundreds of scents using a system of cartridges.
The folks over at City University of Hong Kong and Beihang University in China developed a patch-based wearable sensor that relies on miniaturized odor generators using perfumed wax.
The VR kit can recognize visuals and produce the corresponding scent in roughly two seconds. But when it comes to the perception of taste, the sense of smell (or olfaction) plays an equally crucial role.
The industry has already figured out how to deliver smell as part of AR and VR experiences. The e-Taste system demonstrates that remotely triggering realistic taste on the tongue is also possible.
In addition to lemonade, the team also tested the human participants with food grade chemicals that represent the taste of cake, fried egg, coffee, and fish soup. This mixed-taste analysis was conducted using a mixed-channel e-Taste system called the digital cup.
As far as latency goes, the short-range format measured at [website] second, while the figures for long-range information transfer stood at [website] seconds. The sensor response time, on the other hand, was roughly ten seconds.
“The gustatory interface will pave the way for a new era of AR/VR systems with chemical components by allowing customers not only to visualize and hear virtual environments but also to taste them,” says the research paper.
The team is now focused on miniaturizing the e-Taste sensing kit. Moreover, they are also experimenting with a non-gel solution for delivering the taste chemicals. One of those ideas involves using separate pouches of water and taste fluid, and accordingly varying the concentration.
Water solves another crucial problem: residual chemicals in the channel connected to the tongue. After each session, a water flow would internally clean the pipe and reduce chances of any taste contamination for future sessions.
Learnings from the e-Taste system can be used to develop VR gaming systems that can help people get an immersive sensation combining real taste and smell of what they’re seeing in a virtual world.
For now, what we have is an experimentally-validated system that it’s possible to fold taste into the virtual experiences. What remains is the miniaturization of the whole system and standardizing the electrochemical data representing various food items and beverages.
Beyond the domain of VR, and moving on to your humble computing station, there’s another solution that is about to launch in the market. Asus in the recent past introduced a mouse that comes with a refillable pouch for aromatic oils. It can diffuse nice scents in the air while adding some zen to the whole work environment.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
4.9% | 5.9% | 6.2% | 6.9% | 7.3% | 7.5% | 7.6% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
6.9% | 7.2% | 7.4% | 7.6% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Semiconductors | 35% | 9.3% |
Consumer Electronics | 29% | 6.2% |
Enterprise Hardware | 22% | 5.8% |
Networking Equipment | 9% | 7.9% |
Other Hardware | 5% | 5.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Apple | 18.7% |
Samsung | 16.4% |
Intel | 12.9% |
NVIDIA | 9.8% |
AMD | 7.3% |
Future Outlook and Predictions
The Ai and Google: Latest Developments landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of hardware tech evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the technologies discussed in this article. These definitions provide context for both technical and non-technical readers.