![]() ![]() Ordinals: “summer solstice is twenty first june” -> “Summer solstice is 21st June”.Truecasing: “the iphone was launched in two thousand and seven” -> “The iPhone was launched in 2007”.Numbers: “cobalt’s atomic number is twenty seven” -> “Cobalt’s atomic number is 27”.Capitalising the first letter of the utterance.Cubic has the option to enable basic formatting of speech recognition results: For example, utterances with numbers in might return “twenty seven bridges”, and “the year two thousand and three”. Speech recognition systems typically output the words that were spoken, with no formatting. ![]() Click here to see an example json representation of this Confusion Network object, with time stamps and word-level confidence scores Note that in this representation is silence. Confusion NetworkĪ Confusion Network is a form of speech recognition output that’s been turned into a compact graph representation of many possible transcriptions, as here: Cubic supports both partial and final ASR results. For example, this allows you to see what the ASR system is predicting in real-time while someone is speaking. Cubic handles each utterance separately.įor longer utterances, it is often useful to see the partial speech recognition results while the audio is being streamed. "transcript": "TOMORROW IS ISN'T NEW DAY",Ī single stream may consist of multiple utterances separated by silence. Click here to see an example json representation of Cubic’s N-best list with utterance-level confidence scores The best ASR result is the first entry in this list. is the top N transcriptions from the recogniser. Cubic recognizes the audio you are streaming, listens for the end of each utterance, and returns the speech recognition result.Ĭubic maintains its transcriptions in an N-best list, i.e. ![]() The simplest result that Cubic returns is its best guess at the transcription of your audio. Cubic’s output options are described below. Cubic can estimate its confidence in the transcription result at the word or utterance level, along with timestamps of the words. The results are passed back using Google’s protobuf library, allowing them to be handled natively by your application. We recommend uncompressed WAV as the encoding, but support other formats such as MP3.Ĭubic’s API provides a number of options for returning the speech recognition results. This audio can either be from a microphone or a file. Once running, Cubic’s API provides a method to which you can stream audio. We currently support C++, C#, Go, Java and Python, and can add support for more languages as required. It can be deployed on-prem and accessed over the network or on your local machine via an API. Cubic is Cobalt’s automatic speech recognition (ASR) engine. ![]()
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