Spoken question answering and speech continuation using a spectrogram-powered LLM

The goal of natural language processing (NLP) is to develop computational models that can understand and generate natural language. By capturing the statistical patterns and structures of text-based natural language, language models can predict and generate coherent and meaningful sequences of words. Enabled by the increasing use of the highly successful Transformer model architecture and with training on large amounts of text (with proportionate compute and model …

computational generate google google research language language models language processing llm natural natural language natural language processing nlp patterns processing question answering research researcher research scientist spectrogram speech spoken statistical text