By analyzing speech samples and their text versions
Posted: Tue Feb 18, 2025 8:33 am
Voice technology For computers to communicate in natural language, they need to be able to convert speech to text and text to speech. Speech-to-text (STT) STT converts speech to text using a neural network. the neural network identifies patterns in the way words are pronounced.
It then uses this knowledge to convert new speech recordings into accurate text. Application of STT: Real-time transcription of voice commands. Voice translation. Transcription service. Voice search. For example: YouTube uses STT to provide automatic captions.
Virtual assistants like Siri and Google germany whatsapp number data Assistant use STT to process user commands. Search applications like Google Voice Search use STT to provide responses to voice queries. Text-to-speech (TTS) TTS , also known as speech synthesis, converts text to speech using neural networks.
How TTS works: A neural network learns a person's voice by analyzing many speech samples. A second neural network generates new audio and checks with the first network to see if it matches the original voice. This process continues until the generated voice sounds natural and matches the original.
It then uses this knowledge to convert new speech recordings into accurate text. Application of STT: Real-time transcription of voice commands. Voice translation. Transcription service. Voice search. For example: YouTube uses STT to provide automatic captions.
Virtual assistants like Siri and Google germany whatsapp number data Assistant use STT to process user commands. Search applications like Google Voice Search use STT to provide responses to voice queries. Text-to-speech (TTS) TTS , also known as speech synthesis, converts text to speech using neural networks.
How TTS works: A neural network learns a person's voice by analyzing many speech samples. A second neural network generates new audio and checks with the first network to see if it matches the original voice. This process continues until the generated voice sounds natural and matches the original.