List of IBM Watson Text to Speech Customers
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Since 2010, our global team of researchers has been studying IBM Watson Text to Speech customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased IBM Watson Text to Speech for Speech Recognition AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using IBM Watson Text to Speech for Speech Recognition AI include: The Hershey Company, a United States based Consumer Packaged Goods organisation with 18650 employees and revenues of $11.17 billion, Easterseals Colorado, a United States based Non Profit organisation with 100 employees and revenues of $9.0 million, Lingmo International, a Australia based Professional Services organisation with 20 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using IBM Watson Text to Speech, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Artificial Intelligence software purchases.
The IBM Watson Text to Speech customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Artificial Intelligence software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Easterseals Colorado | Non Profit | 100 | $9M | United States | IBM | IBM Watson Text to Speech | Speech Recognition AI | 2018 | n/a |
In 2018, Easterseals Colorado implemented IBM Watson Text to Speech as a Speech Recognition AI capability to support web-based language learning and audio generation for beginning Spanish learners. The implementation centered on IBM Watson Text to Speech integrated into a language practice site, delivering synthesized voice output for instructional content and pronunciation guidance.
Development was executed using pair-programming and full stack web technologies, including AJAX, HTML, CSS, JavaScript, JSON, Node.js, XML, the Angular framework, and Bootstrap. IBM Watson Text to Speech was embedded into the frontend and invoked from a Node.js backend, enabling real time synthesis calls from browser interactions and server side processes.
The deployment connected the speech synthesis layer with cloud data and translation services, using Google Cloud Firestore for content storage and Google Cloud Functions for serverless orchestration. Integrations explicitly included Google Text to Speech, Google Translate, IBM Watson Language Translator, and the Oxford English Dictionary API, enabling combined translation, lexical lookup, and audio rendering workflows.
Governance and delivery emphasized collaborative engineering practices, with pair-programming driving iterative code development and integration testing. The resulting implementation enhanced the beginning Spanish language experience through integrated translation, dictionary lookup, and synthesized audio, with implementation scope focused on web application language learning functionality rather than enterprise administrative modules.
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Lingmo International | Professional Services | 20 | $2M | Australia | IBM | IBM Watson Text to Speech | Speech Recognition AI | 2016 | n/a |
In 2016, Lingmo International implemented IBM Watson Text to Speech to advance its Speech Recognition AI capabilities supporting language and voice solutions. The deployment centered on applying cognitive speech synthesis and recognition to accelerate model development for conversational use cases.
The implementation configured IBM Watson Text to Speech to provide core text to speech synthesis and model training workflows, including customization of voice models and rapid iteration cycles. Lingmo leveraged Watson's cognitive training approach to train models more quickly even with relatively small volumes of data, reducing the data barrier for prototype and production ready voice models.
Operational scope focused on product development and voice model training within the company's engineering and R&D activities, aligning Speech Recognition AI with Lingmo International's language processing functions. Integration points emphasized data pipelines for annotated audio and text used in iterative training cycles.
Governance and rollout emphasized iterative model governance and training process changes to support faster model iteration, with teams adjusting workflows to prioritize small data sampling and continuous retraining. The implementation explicitly improved Lingmo's ability to enhance speech recognition and to train models more quickly with limited data volumes.
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The Hershey Company | Consumer Packaged Goods | 18650 | $11.2B | United States | IBM | IBM Watson Text to Speech | Speech Recognition AI | 2016 | x |
In 2016 The Hershey Company implemented IBM Watson Text to Speech as a Speech Recognition AI capability to generate synthetic voice from text for programmatic audio generation. IBM Watson Text to Speech is commonly consumed as a cloud-hosted cognitive service that supports both real time streaming and batch text to audio workflows, and the deployment aligns with Speech Recognition AI patterns for automated voice output across customer and accessibility channels.
Typical implementation constructs for IBM Watson Text to Speech include voice model selection and customization, Speech Synthesis Markup Language controls for pronunciation and prosody, multilingual model support, and developer SDKs and APIs to embed text to audio functionality. Integration touchpoints for deployments of IBM Watson Text to Speech commonly include contact center voice channels, IVR and telephony layers, web and mobile front ends, and content management or accessibility platforms, while governance focuses on voice model management, data handling for training and personalization, and operationalizing developer APIs for secure production use.
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Buyer Intent: Companies Evaluating IBM Watson Text to Speech
- BlackRock, a United States based Banking and Financial Services organization with 19900 Employees
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