Search Results for author: Mikko Kurimo

Found 30 papers, 7 papers with code

FinChat: Corpus and evaluation setup for Finnish chat conversations on everyday topics

1 code implementation19 Aug 2020 Katri Leino, Juho Leinonen, Mittul Singh, Sami Virpioja, Mikko Kurimo

Using this corpus, we also construct a retrieval-based evaluation task for Finnish chatbot development.

Chatbot

Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge

no code implementations6 Aug 2020 Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kathania, Mikko Kurimo

On ComParE 2020 tasks, we investigate applying an ensemble of E2E models for robust performance and developing task-specific modifications for each task.

Feature Engineering

Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models

no code implementations LREC 2020 Mittul Singh, Peter Smit, Sami Virpioja, Mikko Kurimo

We, however, show that for character-based NNLMs, only pretraining with a related language improves the ASR performance, and using an unrelated language may deteriorate it.

automatic-speech-recognition Cross-Lingual Transfer +2

Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search

1 code implementation28 May 2020 Mittul Singh, Sami Virpioja, Peter Smit, Mikko Kurimo

On these tasks, interpolating the baseline RNNLM approximation and a conventional LM outperforms the conventional LM in terms of the Maximum Term Weighted Value for single-character subwords.

Speech Recognition

Transfer learning and subword sampling for asymmetric-resource one-to-many neural translation

1 code implementation8 Apr 2020 Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo

There are several approaches for improving neural machine translation for low-resource languages: Monolingual data can be exploited via pretraining or data augmentation; Parallel corpora on related language pairs can be used via parameter sharing or transfer learning in multilingual models; Subword segmentation and regularization techniques can be applied to ensure high coverage of the vocabulary.

Data Augmentation Denoising +2

Finnish Language Modeling with Deep Transformer Models

no code implementations14 Mar 2020 Abhilash Jain, Aku Ruohe, Stig-Arne Grönroos, Mikko Kurimo

Transformers have recently taken the center stage in language modeling after LSTM's were considered the dominant model architecture for a long time.

Language Modelling

Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning

1 code implementation LREC 2020 Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo

Using English, Finnish, North Sami, and Turkish data sets, we show that this approach is able to find better solutions to the optimization problem defined by the Morfessor Baseline model than its original recursive training algorithm.

automatic-speech-recognition Machine Translation +1

A user study to compare two conversational assistants designed for people with hearing impairments

no code implementations WS 2019 Anja Virkkunen, Juri Lukkarila, Kalle Palom{\"a}ki, Mikko Kurimo

In the mobile device, augmented reality (AR) was used to help the hearing impaired observe gestures and lip movements of the speaker simultaneously with the transcriptions.

automatic-speech-recognition Speaker Identification +1

TheanoLM - An Extensible Toolkit for Neural Network Language Modeling

no code implementations3 May 2016 Seppo Enarvi, Mikko Kurimo

We present a new tool for training neural network language models (NNLMs), scoring sentences, and generating text.

English Conversational Speech Recognition Language Modelling

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