![]() In the remainder of this Unit, we’ll focus on creating a STST system that translates speech from any language X to speech Text-to-speech systems can be coupled together to yield a new STST model without any additional training. It’s also a very data and compute efficient way of developing a STST system, since existing speech recognition and The three-stageĬascaded system of ASR + MT + TTS was previously used to power many commercial STST products, including Google Translate. While this cascaded approach to STST is pretty straightforward, it results in very effective STST systems. However, adding moreĬomponents to the pipeline lends itself to error propagation, where the errors introduced in one system are compoundedĪs they flow through the remaining systems, and also increases latency, since inference has to be conducted for more models. Into the target language, and finally text-to-speech to generate speech in the target language. Transcribe the source speech into text in the same language, then machine translation to translate the transcribed text ![]() We could also have used a three stage approach, where first we use an automatic speech recognition (ASR) system to Language, then text-to-speech (TTS) to generate speech in the target language from the translated text: We’ll use a speech translation (ST) system to transcribe the source speech into text in the target In this chapter, we’ll explore a cascaded approach to STST, piecing together the knowledge you’ve acquired in Unitsĥ and 6 of the course. This is a more natural way of communicatingĬompared to text-based machine translation. Respond by speaking back at the STST system, and you can listen to their response. Than writing the information that you want to convey and then translating it to text in the target language, youĬan speak it directly and have a STST system convert your spoken speech into the target langauge. Suppose you want to communicate with another individual across a langauge barrier. Multilingual communication, enabling speakers in different languages to communicate with one another through the medium Language into another, we translate speech from one language into another. STST can be viewed as an extension of the traditional machine translation (MT) task: instead of translating text from one
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |