4 citations · 4 across the 3 of their papers we have counts for
7 papers
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
Łukasz Augustyniak, Piotr Szymanski, Mikołaj Morzy +5
Automatic Speech Recognition (ASR) systems introduce word errors, which often confuse punctuation prediction models, turning punctuation restoration into a challenging task. These…
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations
Jan Mizgajski, Adrian Szymczak, Robert Głowski +14
Avaya Conversational Intelligence(ACI) is an end-to-end, cloud-based solution for real-time Spoken Language Understanding for call centers. It combines large vocabulary, real-time…
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
Piotr Żelasko, Jan Mizgajski, Mikołaj Morzy +4
In this paper, we present a method for correcting automatic speech recognition (ASR) errors using a finite state transducer (FST) intent recognition framework. Intent recognition i…
LNEMLC: Label Network Embeddings for Multi-Label Classification
Piotr Szymański, Tomasz Kajdanowicz, Nitesh Chawla
Multi-label classification aims to classify instances with discrete non-exclusive labels. Most approaches on multi-label classification focus on effective adaptation or transformat…
Punctuation Prediction Model for Conversational Speech
Piotr Żelasko, Piotr Szymański, Jan Mizgajski +3
An ASR system usually does not predict any punctuation or capitalization. Lack of punctuation causes problems in result presentation and confuses both the human reader andoff-the-s…
Spatio-temporal profiling of public transport delays based on large scale vehicle positioning data from GPS in Wrocław
Piotr Szymański, Michał Żołnieruk, Piotr Oleszczyk +2
In recent years many studies of urban mobility based on large data sets have been published: most of them based on crowdsourced GPS data or smart-card data. We present, what is to…