For example, it can be used to detect accents and other variations in speech, as well as to detect background noise and other distractions. This can be especially useful for businesses that need to communicate with customers in multiple languages, as it allows them to understand what customers are saying without having to learn each language.įinally, IBM Watson Speech-to-Text also offers a range of other features that can be used to improve the accuracy of speech recognition. This feature allows users to speak in multiple languages and have their speech accurately recognized and transcribed. ![]() ![]() In addition to language translation, IBM Watson Speech-to-Text also offers multilingual speech recognition. With Watson Speech-to-Text, users can quickly and accurately translate speech from one language to another, allowing for seamless communication between customers and businesses. This can be especially useful for businesses that need to communicate with customers in multiple languages. ![]() The most obvious benefit of IBM Watson Speech-to-Text is its ability to translate speech from one language to another. It provides a range of benefits for businesses and individuals alike, making it an invaluable asset for anyone who needs to communicate in multiple languages. IBM Watson Speech-to-Text is a powerful tool for language translation and multilingual speech recognition. And, as the number of languages spoken by Watson grows, and the sophistication of Watson’s understanding increases, new possibilities for applications within and across languages will emerge.Exploring the Benefits of IBM Watson Speech-to-Text for Language Translation and Multilingual Speech Recognition The benefits of a learning tool able to understand and communicate in multiple languages for children’s linguistic development are obvious, and exciting. Meanwhile, IBM is partnering with brands such as Sesame Workshop, the makers of Sesame Street, to improve early learning experiences. One research project has placed a Watson-powered program into a real-time meeting, to listen to, understand and augment the conversation in different languages. Over time, and with the work of IBM’s team of experts, the possibilities go far beyond current applications in its current native languages. This is an aspiration rather than a short-term goal. By providing native access to cognitive applications in ever more languages, Watson is already opening up new opportunities to embed cognitive technologies in our everyday lives.Īccording to Roukos, IBM’s ultimate objective is for Watson to be able to ingest all data in all languages, and be able to present accurate and relevant answers to users’ questions, regardless of the language of the question and the language of the answer. The future of cognitive language, along with Watson-powered applications accessing information across many languages, could create seamless access to knowledge across linguistic barriers. IBM has worked with specific partners to bring the benefits of Watson to their native language - and beyond. We even do some languages where we don’t have anyone who knows it in the team itself!” Obviously, it’s easier to do development in a language you know, but as long as you have someone who knows the language to consult when there is an error, it is not necessary. Most of the researchers and developers don’t know the language. Machine learning is used to enable Watson to process content in the new language. “It’s really more driven by linguistic data annotation and machine learning – so, language knowledge is focused on giving the basic features of the language. Roukos is fluent in English, Arabic and French, and brings that linguistic facility to IBM Watson – although fluency is not required to teach Watson a new language. So, for example, Watson could use its Speech to Text along with Language Translation and English text analytics to extract huge amounts of unstructured conversational information from different languages in multilingual call centre operations to detect emerging trends based on customer calls. Watson is now able to translate documents across multiple languages, but can also bring the power of its understanding of natural language to bear. Using question and answer pairs, Watson learns the details of a specific domain within the new language - currently, Watson’s domain specialisations across multiple languages include insurance policies, patent documentation, news reporting and conversational text and speech. The next stage after building the language capability is to establish domain expertise. Ultimately, we’re doing well if we have a system that is as good with a given language as a high school graduate.” It’s the same for Watson – he needs to be told. You can only know what that means if somebody tells you – there’s no way to work it out. “Language evolves,” notes Roukos, “so you have to continue to learn.
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