Search Results for author:
Found 6 papers, 2 papers with code
Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
We explore a keyword-based spoken language understanding system, in which the intent of the user can directly be derived from the detection of a sequence of keywords in the query.
Spoken Language Understanding on the Edge
We consider the problem of performing Spoken Language Understanding (SLU) on small devices typical of IoT applications.
Ranked #4 on
Spoken Language Understanding
on Snips-SmartSpeaker
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
This paper presents the machine learning architecture of the Snips Voice Platform, a software solution to perform Spoken Language Understanding on microprocessors typical of IoT devices.
Ranked #43 on
Speech Recognition
on LibriSpeech test-other
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition
Offline handwriting recognition systems require cropped text line images for both training and recognition.
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention
We present an attention-based model for end-to-end handwriting recognition.
Dropout improves Recurrent Neural Networks for Handwriting Recognition
Recurrent neural networks (RNNs) with Long Short-Term memory cells currently hold the best known results in unconstrained handwriting recognition.
