42 citations · 187 across the 29 of their papers we have counts for
32 papers
Whisper-Based Speech Transcription from Videos Across Multiple Languages for Cross-Cultural Understanding
Michael Picheny
Cross-cultural understanding has become increasingly important in today's highly connected, cross-national world. The success of LLM-based technologies is now driving the developme…
Improving Joint Speech-Text Representations Without Alignment
Cal Peyser, Zhong Meng, Ke Hu +5
The last year has seen astonishing progress in text-prompted image generation premised on the idea of a cross-modal representation space in which the text and image domains are rep…
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale
Cal Peyser, Michael Picheny, Kyunghyun Cho +3
Unpaired text and audio injection have emerged as dominant methods for improving ASR performance in the absence of a large labeled corpus. However, little guidance exists on deploy…
Towards Disentangled Speech Representations
Cal Peyser, Ronny Huang Andrew Rosenberg Tara N. Sainath, Michael Picheny +1
The careful construction of audio representations has become a dominant feature in the design of approaches to many speech tasks. Increasingly, such approaches have emphasized "dis…
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions
Chunxi Liu, Michael Picheny, Leda Sarı +7
It is well known that many machine learning systems demonstrate bias towards specific groups of individuals. This problem has been studied extensively in the Facial Recognition are…
Cascaded Multilingual Audio-Visual Learning from Videos
Andrew Rouditchenko, Angie Boggust, David Harwath +8
In this paper, we explore self-supervised audio-visual models that learn from instructional videos. Prior work has shown that these models can relate spoken words and sounds to vis…