Voice interfaces : AI Enablement

Context:

Voice user interfaces (VUI) enables users to interact with their devices using voice commands. VUI is speech recognition technology enabling hands-free device interaction, enabling control over smart devices like Cortana, Alexa, and Siri, with popular virtual assistants like Microsoft and Amazon.

Amazon Echo, Apple Siri, Google Assistant, Ford SYNC, Waze, and Sonos One are voice assistants that enable users to control smart home devices, play music, and perform various tasks. These systems offer various features, such as hands-free operation, enhanced driver safety, and voice-controlled navigation. Other voice assistants, like Waze, allow users to report incidents, ask for directions, and receive real-time traffic updates. The Sonos One smart speaker integrates with these voice assistants, combining high-quality audio with voice control capabilities.

Driving Forces:

  • Technology Advances: Advances in speech recognition, natural language processing, and machine learning have considerably enhanced the accuracy and capabilities of voice interfaces.
  • Need for hands free, touchless interaction: Voice interfaces provide convenience and hands-free operation by enabling users to interact with devices using natural language and speech, making it ideal for situations like driving or cooking.
  • Inclusive to wide range of users: Voice interfaces improve accessibility for visually impaired individuals, enabling easier access to information, services, and devices, aligning with universal design principles for equal technology access.
  • Multimodal Support: Voice interfaces enable multimodal experiences by combining input and output modalities like touch, gestures, and visuals, enhancing versatility and immersive in smart displays.
  • Personalized Support: Voice assistants can give those with special needs with personalized support. They can help with medicine reminders, appointment scheduling, task management, and other everyday chores, all while encouraging independence and self-control.
  • Voice-Enabled Device Proliferation: Voice interfaces are becoming more popular as voice assistants become more widely available and integrated into numerous gadgets. Voice assistants are increasingly routinely found in smart speakers, smartphones, smart TVs, and other smart devices, making voice interaction more accessible and familiar to users.
  • Growing Ecosystem and apps: Due to the growing ecosystem of voice-enabled apps and services, voice interfaces have gained popularity.

Best Practices:

  • Designing a voice interface involves creating an intuitive, efficient system for user interaction with devices or applications using voice.
  • Identify target audience, consider language proficiency, technical expertise, and any potential limitations they may have when using a voice interface. , and conduct user research for informed design decisions.
  • Define the scope, purpose, tasks or function it will perform and value addition to the user’s experience.
  • Develop a clear interaction flow for user journeys in voice interface, considering commands, prompts, and responses.
  • Tools streamline voice user interface design, allowing visualization, iteration, and testing, offering voice interactions features. Voiceflow, Botmock, Jovo, and Dialogflow are popular tools for designing and prototyping voice and conversational experiences. They offer visual interfaces, user prompts, integration with voice platforms, and analytics features. Jovo supports Amazon Alexa and Google ssistant, while Dialogflow is a cloud-based platform for natural language understanding.
  • Plan for errors and misunderstandings in voice interactions, design fallback mechanisms, and provide clear instructions for error recovery.
  • Prioritize simplicity and clarity in voice interfaces, breaking complex tasks into manageable steps with clear prompts.
  • Ensure voice interface is inclusive, considering speech impairments and accents, and provide alternative input methods, such as touch or typing, for users who may prefer or require an alternative to voice interactions.
  • Design voice interfaces with NLP capabilities for conversational interactions and understand user inputs. Consider supporting variations in sentence structure and vocabulary to accommodate different user preferences.
  • Platform-specific guidelines for voice assistant design include Alexa Design Guide, SiriKit Human Interface Guidelines, and Google Actions on Google Design Guidelines. Review and follow to ensure voice interface alignment.
  • Voice interfaces require data security measures, ensuring clear communication, user consent, and compliance with regulations and best practices.
  • Voice interfaces require accurate speech recognition for user commands; ensure robust capabilities and test with diverse samples and accents for effectiveness.
  • Conduct usability testing, gather feedback, refine design, and continuously improve voice interface based on real-world usage and user feedback.

Technology Enablers:

There are various tech enablers to design, and integrate the VUI. Depending on your needs, one should go for open source or cloud-based integration. Here are quick points around the same.

Go for Open Source, if one or many of these are on your priority list.

  1. Privacy and Data Control: Offer privacy and data control, enabling local processing of speech data without external servers.
  2. Customization and Flexibility: Enable customization, flexibility, and fine-tuning of speech-related components, enabling fine-tuning, integration, and customization.
  3. Offline or Edge Applications: Offer offline speech processing in limited internet connectivity environments, enabling offline or low-latency processing.
  4. Research and Experimentation: Enable research and experimentation in speech-related tasks, enabling researchers to modify and extend code.

Go for Cloud Offerings, if one or many of these are on your priority list.

Scalability and Performance: Cloud-based speech services offer high-performance processing, robust infrastructure, and efficient processing for high traffic situations.

  1. Ease of integration, quick to market: Cloud services offer APIs and SDKs for easy speech integration, simplifying projects with pre-built models and client libraries.
  2. Maintenance and Updates: Cloud services handle the maintenance, updates, and infrastructure management for you.
  3. Focus on core capabilities: The cloud provider takes care of the underlying infrastructure, ensuring reliability and security.st-Effectiveness: While cloud services come with costs, they can be more cost-effective in certain scenarios.
  4. Integration with ecosystem: Cloud services integrate with AI services like natural language understanding, translation, and transcription for a unified experience.

 

Conclusion:

As per Yahoo ! “The global voice user interface market is expected to grow from $17.32 billion in 2022 to $20.99 billion in 2023 at a compound annual growth rate (CAGR) of 21.2%. The voice user interface market is expected to grow to $45.56 billion in 2027 at a CAGR of 21.4%.” [Source:Yahoo]. With AI and its impact on improvement in accuracy of the voice to text technology, it is very important to bring voice user interface to a wider audience and provide ease of navigation.

Author Details

Rahul Chakradhar Sale

Rahul is a Principal Solution Architect at Infosys Digital Experience. He architects microservices, Web Application/Mobile applications, and Enterprise cloud solutions. He helps deliver digital transformation programs for enterprises, by leveraging cloud services, designing cloud-native applications, and providing leadership, strategy, and technical consultation.

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