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Found 8 papers, 2 papers with code
Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces
For children, the system trained on a large corpus of adult speakers performed worse than a system trained on a much smaller corpus of children’s speech.
Morfessor-enriched features and multilingual training for canonical morphological segmentation
Our approach is to pre-segment the input data for a neural sequence-to-sequence model with the unsupervised method.
Ranked #1 on
Morpheme Segmentaiton
on UniMorph 4.0
(f1 macro avg (subtask 2) metric)
Open-Source Conversational AI with SpeechBrain 1.0
This paper presents SpeechBrain 1. 0, a significant milestone in the evolution of the toolkit, which now has over 200 recipes for speech, audio, and language processing tasks, and more than 100 models available on Hugging Face.
Finnish Parliament ASR corpus - Analysis, benchmarks and statistics
We set benchmarks on the official test sets, as well as multiple other recently used test sets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks
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.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain is an open-source and all-in-one speech toolkit.
Multimodal Machine Translation through Visuals and Speech
Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain useful alternative views of the input data.
Ranked #4 on
Multimodal Machine Translation
on Multi30K
The MeMAD Submission to the IWSLT 2018 Speech Translation Task
In this paper, we also describe the experiments leading up to our final systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
