40 citations · 85 across the 23 of their papers we have counts for
9 papers · 1 filter
Focus on the present: a regularization method for the ASR source-target attention layer
Nanxin Chen, Piotr Żelasko, Jesús Villalba +1
This paper introduces a novel method to diagnose the source-target attention in state-of-the-art end-to-end speech recognition models with joint connectionist temporal classificati…
Learning Speaker Embedding from Text-to-Speech
Jaejin Cho, Piotr Zelasko, Jesus Villalba +2
Zero-shot multi-speaker Text-to-Speech (TTS) generates target speaker voices given an input text and the corresponding speaker embedding. In this work, we investigate the effective…
WER we are and WER we think we are
Piotr Szymański, Piotr Żelasko, Mikolaj Morzy +6
Natural language processing of conversational speech requires the availability of high-quality transcripts. In this paper, we express our skepticism towards the recent reports of v…
CopyPaste: An Augmentation Method for Speech Emotion Recognition
Raghavendra Pappagari, Jesús Villalba, Piotr Żelasko +2
Data augmentation is a widely used strategy for training robust machine learning models. It partially alleviates the problem of limited data for tasks like speech emotion recogniti…
How Phonotactics Affect Multilingual and Zero-shot ASR Performance
Siyuan Feng, Piotr Żelasko, Laureano Moro-Velázquez +4
The idea of combining multiple languages' recordings to train a single automatic speech recognition (ASR) model brings the promise of the emergence of universal speech representati…
Self-Expressing Autoencoders for Unsupervised Spoken Term Discovery
Saurabhchand Bhati, Jesús Villalba, Piotr Żelasko +1
Unsupervised spoken term discovery consists of two tasks: finding the acoustic segment boundaries and labeling acoustically similar segments with the same labels. We perform segmen…
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge
Ashish Arora, Desh Raj, Aswin Shanmugam Subramanian +7
This paper summarizes the JHU team's efforts in tracks 1 and 2 of the CHiME-6 challenge for distant multi-microphone conversational speech diarization and recognition in everyday h…
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages
Piotr Żelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson +2
Only a handful of the world's languages are abundant with the resources that enable practical applications of speech processing technologies. One of the methods to overcome this pr…
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…