133 citations · 226 across the 12 of their papers we have counts for
8 papers · 1 filter
Representation learning through cross-modal conditional teacher-student training for speech emotion recognition
Sundararajan Srinivasan, Zhaocheng Huang, Katrin Kirchhoff
Generic pre-trained speech and text representations promise to reduce the need for large labeled datasets on specific speech and language tasks. However, it is not clear how to eff…
Remember the context! ASR slot error correction through memorization
Dhanush Bekal, Ashish Shenoy, Monica Sunkara +2
Accurate recognition of slot values such as domain specific words or named entities by automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue Syste…
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling
Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff
Automatic Speech Recognition (ASR) robustness toward slot entities are critical in e-commerce voice assistants that involve monetary transactions and purchases. Along with effectiv…
Speaker-conversation factorial designs for diarization error analysis
Scott Seyfarth, Sundararajan Srinivasan, Katrin Kirchhoff
Speaker diarization accuracy can be affected by both acoustics and conversation characteristics. Determining the cause of diarization errors is difficult because speaker voice acou…
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment
Ethan A. Chi, Julian Salazar, Katrin Kirchhoff
Non-autoregressive models greatly improve decoding speed over typical sequence-to-sequence models, but suffer from degraded performance. Infilling and iterative refinement models m…
Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech
Monica Sunkara, Srikanth Ronanki, Dhanush Bekal +2
In this work, we explore a multimodal semi-supervised learning approach for punctuation prediction by learning representations from large amounts of unlabelled audio and text data.…