Abstract How important are different temporal speech modulations for speech recognition? We answer this question from two complementary perspectives. Firstly, we quantify the amount of phonetic information in the modulation spectrum of speech by computing[…]

Read More

Abstract Despite many recent advances in automatic speech recognition (ASR), linguists and language communities engaged in language documentation projects continue to face the obstacle of the “transcription bottleneck”. Researchers in NLP typically do not distinguish between[…]

Read More

Read More

Abstract Recent advances in large pretrained language models have unlocked new exciting applications for Natural Language Generation for creative tasks, such as lyrics or humour generation. In this talk we will discuss recent works by[…]

Read More

Abstract As data-based technologies proliferate, it is increasingly important for researchers to be aware of their work’s wider impact. Concerns like navigating the IRB and figuring out copyright and licensing issues are still key, but[…]

Read More

Abstract In this talk, I will outline the unique application of speech technologies to brain signals collected from the cortical surface of clinical human subjects speaking isolated utterances, which are to be decoded in real[…]

Read More

Abstract Speech communications represents a core domain for education, team problem solving, social engagement, and business interactions. The ability for Speech Technology to extract layers of knowledge and assess engagement content represents the next generation[…]

Read More