Summary of Aix Speed: Playback Speed Optimization Using Listening Comprehension Of Speech Recognition Models, by Kazuki Kawamura and Jun Rekimoto
AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models
by Kazuki Kawamura, Jun Rekimoto
First submitted to arxiv on: 5 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a system that automatically adjusts playback speed for audio content, aiming to optimize comprehension efficiency. Building on existing systems, the proposed method targets finer time units, such as phonemes, while ensuring speech intelligibility. The approach uses a speech recognizer score as a proxy for human understanding and maximizes playback speed within an individual’s auditory capabilities. This innovation enables production of fast yet understandable speech. To validate this concept, the study compares constant fast-speed playback with dynamically adjusted playback in a blind test, confirming that the proposed method yields more intelligible audio. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research focuses on making it easier to understand and process long audio or video content by adjusting how fast you can listen or watch. The goal is to find the perfect speed for each person based on their abilities and what they’re listening to. The team proposes a new way to do this, using special algorithms to ensure the speech remains clear even at faster speeds. To test this idea, they compared two methods: one that always plays back audio quickly and another that adjusts the speed in real-time. The results show that their approach produces more understandable audio. |
