V.u.x. World

We take it for granted that, when we talk to our voice assistants, they hear us. When we dictate a message to Siri, it transcribes it. Speech recognition is used in a whole manner of areas beyond voice assistants, too. Transcribing videos on YouTube, PowerPoint, dictation, call transcriptions in contact centres and beyond. But speech recognition systems don't always perform as expected and require training constantly to address bias, new language and dialects.Why do automatic speech recognition systems need training?There are many cases, however, where speech recognition systems either fail, or need training. For example, training speech recognition models to remove bias is a core priority for all speech recognition providers today. Studies have shownthat the major ASR players technologies perform poorly when used by black people, as compared to white people, for example. Addressing this performance gap is of upmost importance.Another reason for training ASR systems is expansion into other