Name
Title | ||
|---|---|---|
Design and Optimization of a Speech Recognition Front-End for Distant-Talking Control of a Music Playback Device. |
Abstract | ||
|---|---|---|
This paper addresses the challenging scenario for the distant-talking control of a music playback device, a common portable speaker with four small loudspeakers in close proximity to one microphone. The user controls the device through voice, where the speech-to-music ratio can be as low as -30 dB during music playback. We propose a speech enhancement front-end that relies on known robust methods for echo cancellation, double-talk detection, and noise suppression, as well as a novel adaptive quasi-binary mask that is well suited for speech recognition. The optimization of the system is then formulated as a large scale nonlinear programming problem where the recognition rate is maximized and the optimal values for the system parameters are found through a genetic algorithm. We validate our methodology by testing over the TIMIT database for different music playback levels and noise types. Finally, we show that the proposed front-end allows a natural interaction with the device for limited-vocabulary voice commands. |
Year | Venue | DocType |
|---|---|---|
2014 | arXiv: Sound | Journal |
Volume | Citations | PageRank |
abs/1405.1379 | 1 | 0.36 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ramin Pichevar | 1 | 56 | 9.92 |
| Jason Wung | 2 | 16 | 4.45 |
| Daniele Giacobello | 3 | 117 | 12.33 |
| Joshua Atkins | 4 | 7 | 4.20 |