Device-directed speech detection for follow-up conversations using large language models
This paper was accepted into the Adaptive Foundation Models (AFM) workshop at NeurIPS Workshop 2024. Follow-up conversations with virtual assistants ...
Tag: DeviceDirected
Large multimodal language models with low-rank adaptation fusion for device-directed speech detection
Although large language models (LLMs) have shown promise for human-like conversations, they are primarily trained on text data. Incorporating audio ...
Resource-Efficient Device-Directed Speech Detection and Multimodal Data with Large Base Models
*=Equal taxpayers This article was accepted into the Efficient Natural Language and Speech Processing workshop at NeurIPS 2023. Interactions with ...
Modality Dropout for Multimodal Device-Directed Speech Detection Using Verbal and Nonverbal Features
Device-directed speech detection (DDSD) is the binary classification task of distinguishing between queries directed to a voice assistant and parallel ...
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