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IBM WATSON SPEECH TO TEXT JAVASCRIPT UPDATE
IBM WATSON SPEECH TO TEXT JAVASCRIPT FULL
IBM WATSON SPEECH TO TEXT JAVASCRIPT PROFESSIONAL

Watson will automatically start to review the available video content and create caption files through speech to text. On a per video basis, by editing the video and going to Overview and setting the language.On a channel basis for all associated videos, by going to Info for the channel and setting a language.To start automatically generating captions on your videos, you will first need to designate a language for IBM Watson to use. Speakers with accents that cause words to be slurred or pronounced differently might also be misinterpreted unless the whole speech provides proper context. Factors that can work against speech to text accuracy include a lot of background noise, including loud soundtracks or soundtracks with vocals, or instances where multiple people are talking simultaneously. The best results are observed when there is one speaker in your video talking at a normal pace with good audio quality present. Second is the quality of the video’s audio, which has a big impact on accuracy. Contact IBM sales to learn more about this optional service. In addition, training can be performed on the specific content you plan to feed the speech to text engine, which can dramatically improve accuracy on these specific words. For example, Watson might transcribe someone as saying “they have defective jeans”, but later context is added that they are talking about genetics and the statement could be amended as “they have defective genes”.

IBM WATSON SPEECH TO TEXT JAVASCRIPT FULL

The service continues to advance and learn, though, and as mentioned is setup to review the full speech and make corrections based on context. Watson will determine the most likely results for spoken words or phrases, but might misinterpret names, brands and technical terms. The first is that any automated speech to text service can only transcribe words that it knows. Two elements go into the accuracy when converting speech to text. More languages will be supported as time goes on as we are constantly working on expanding the list of supported languages. So English audio would be transcribed to English text or captions, while Italian audio would be transcribed into Italian text. Right now the system can recognize the following languages:īeing a supported language means that the technology can be set to recognize audio in that language and transcribe it. This was expanded to support 11 different languages in 2020. Supported languagesĪt launch, this feature supported 7 different languages, with English variants for either the United Kingdom or the United States. This process takes roughly the length of the video to transcribe, producing quick, useable captions. If the video is selected as being in a supported language, Watson will automatically start to caption the content through using speech to text. To convert video speech to text, content owners simply need to upload their video content to IBM’s video streaming or enterprise video streaming offerings.

IBM WATSON SPEECH TO TEXT JAVASCRIPT UPDATE

Through this process, it will apply this added knowledge retroactively, so if clarity to an earlier statement is introduced toward the end of the speech Watson will go back and update the earlier part to maintain accuracy. As the transcription process is underway, Watson will continue to learn as more of the speech is heard, providing additional context. IBM Watson uses machine intelligence to transcribe speech accurately through combining information about grammar and language structure with knowledge about the composition of the audio signal.

IBM WATSON SPEECH TO TEXT JAVASCRIPT PROFESSIONAL

Additional professional services available for captioning.

Integrated live captioning for enterprises is also available, although differs in several ways from the VOD feature talked about here. It has recently been expanded to recognize additional languages. This was added to IBM’s video streaming solutions in late 2017 for VODs (video on-demand). To address this, IBM introduced the ability to convert video speech to text through IBM Watson. The process offers content owners a way to quickly and cost effectively provide captions for their videos. This the ability to identify words and phrases in spoken language and convert them to text. However, caption generation can be time consuming, taking 5-10 times the length of the video asset, or costly if you are paying someone else to create them.Ī solution is automatic speech recognition from machine learning. These reasons, along with regulations such as the Americans with Disabilities Act and rules from the FCC, have realized the need to caption video assets. Not only that, but Facebook found out that adding captions to a video increased view times on their network by 12%. While they assist deaf and hard of hearing people in enjoying video content, a study in the UK discovered that 80% of closed caption use was from those with no hearing issues. Closed captions have grown to be an important part of the video experience.