Spoken Language Understanding
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Benchmarks
Fluent Speech Commands
Snips-SmartLights
Snips-SmartSpeaker
Spoken-SQuAD
Timers and Such
Most implemented
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
SpeechBrain: A General-Purpose Speech Toolkit
Papers
SFL-MTSC: Leveraging Semantic Frame-Level Multi-Task Self-Consistency for Robust Multi-Intent Spoken Language Understanding
Prompt-based spoken language understanding (SLU) with large language models (LLMs) often suffers from inconsistent intent--slot structures due to decoding stochasticity, particularly in multi-intent scenarios. In view of…
Spoken Language UnderstandingSelective Capability Unlearning in End-to-End Spoken Language Understanding
Modern spoken language understanding (SLU) systems are increasingly deployed in real-world settings, where specific functionalities may need to be removed due to policy or safety constraints. In SLU, a functionality corr…
Spoken Language UnderstandingEnd-to-End Voice Intent Recognition for Spontaneous Human-Drone Interaction with Naive Users
Voice control offers an intuitive alternative to manual drone piloting, yet most existing systems rely on rigid command vocabularies that fail to handle the spontaneous, disfluent speech of naive users. This paper addres…
Spoken Language UnderstandingSelf-Supervised LearningKnowledge DistillationIntent RecognitionLaSR: Context-Aware Speech Recognition via Latent Reasoning
Recent advances in Speech Large Language Models (Speech LLMs) have significantly enhanced spoken language understanding and reasoning. However, their contextual awareness is limited, struggling to perform speech recognit…
Spoken Language UnderstandingSpeech RecognitionBangla-WhisperDiar: Fine-Tuning Whisper and PyAnnote for Bangla Long-Form Speech Recognition and Speaker Diarization
Automatic Speech Recognition (ASR) and speaker diarization in Bangla remain challenging due to long form recordings, diverse acoustic conditions, and significant speaker variability. This work addresses these two core ta…
Spoken Language UnderstandingSpeaker DiarizationSpeech RecognitionData AugmentationSLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding
Spoken Language Understanding (SLU) aims to extract the semantic information from the speech utterance of user queries. It is a core component in a task-oriented dialogue system. With the spectacular progress of deep neu…
Spoken Language UnderstandingSpeech Recognition