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Found 8 papers, 0 papers with code
The 2016 KIT IWSLT Speech-to-Text Systems for English and German
For the English TED task, our best combination system has a WER of 7. 8% on the development set while our other combinations gained 21. 8% and 28. 7% WERs for the English and German MSLT tasks.
Text-Driven Separation of Arbitrary Sounds
The second model, SoundFilter, takes a mixed source audio clip as an input and separates it based on a conditioning vector from the shared text-audio representation defined by SoundWords, making the model agnostic to the conditioning modality.
Teaching keyword spotters to spot new keywords with limited examples
Towards easily customizable KWS models, we present KeySEM (Keyword Speech EMbedding), a speech embedding model pre-trained on the task of recognizing a large number of keywords.
Low Latency ASR for Simultaneous Speech Translation
User studies have shown that reducing the latency of our simultaneous lecture translation system should be the most important goal.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Training Keyword Spotters with Limited and Synthesized Speech Data
With the rise of low power speech-enabled devices, there is a growing demand to quickly produce models for recognizing arbitrary sets of keywords.
Ranked #10 on
Keyword Spotting
on Google Speech Commands
(Google Speech Commands V2 12 metric)
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
Low power digital signal processors (DSPs) typically have a very limited amount of memory in which to cache data.
Now Playing: Continuous low-power music recognition
To reduce battery consumption, a small music detector runs continuously on the mobile device's DSP chip and wakes up the main application processor only when it is confident that music is present.
