33 citations · 58 across the 11 of their papers we have counts for
13 papers · 1 filter
When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity
Khalid Alnajjar, Mika Hämäläinen, Jörg Tiedemann +2
Prerecorded laughter accompanying dialog in comedy TV shows encourages the audience to laugh by clearly marking humorous moments in the show. We present an approach for automatical…
Finnish Parliament ASR corpus - Analysis, benchmarks and statistics
Anja Virkkunen, Aku Rouhe, Nhan Phan +1
Public sources like parliament meeting recordings and transcripts provide ever-growing material for the training and evaluation of automatic speech recognition (ASR) systems. In th…
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks
Anssi Moisio, Dejan Porjazovski, Aku Rouhe +5
The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The c…
FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics
Katri Leino, Juho Leinonen, Mittul Singh +2
Creating open-domain chatbots requires large amounts of conversational data and related benchmark tasks to evaluate them. Standardized evaluation tasks are crucial for creating aut…
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models
Mittul Singh, Peter Smit, Sami Virpioja +1
Character-based Neural Network Language Models (NNLM) have the advantage of smaller vocabulary and thus faster training times in comparison to NNLMs based on multi-character units.…
Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search
Mittul Singh, Sami Virpioja, Peter Smit +1
In spoken Keyword Search, the query may contain out-of-vocabulary (OOV) words not observed when training the speech recognition system. Using subword language models (LMs) in the f…