1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2023★ 1 cited
Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding
Kumari Nishu, Minsik Cho, Paul Dixon +1
Spotting user-defined/flexible keywords represented in text frequently uses an expensive text encoder for joint analysis with an audio encoder in an embedding space, which can suff…
eess.AS2023
Matching Latent Encoding for Audio-Text based Keyword Spotting
Kumari Nishu, Minsik Cho, Devang Naik
Using audio and text embeddings jointly for Keyword Spotting (KWS) has shown high-quality results, but the key challenge of how to semantically align two embeddings for multi-word…