Multi-Talker Speech Recognition Based on Blind Source Separation with ad hoc Microphone Array Using Smartphones and Cloud Storage

By Keiko Ochi, Nobutaka Ono, Shigeki Miyabe, Shoji Makino. 2016

20 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yi Luo
2. Nima Mesgarani
3. Yossi Adi
4. John R. Hershey
5. Jonathan Le Roux
6. Lior Wolf
7. Eliya Nachmani
8. Zhuo Chen

In Signal Processing

1. Yi Luo
2. Nima Mesgarani
3. Yossi Adi
4. Jonathan Le Roux
5. Zhuo Chen
6. Lior Wolf
7. Eliya Nachmani
8. Takuya Yoshioka

Citations in the corpus

• Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation (2018, background): “front-end module for tandem systems in other audio processing tasks, such as multitalker speech recognition [57]–[60] and speaker identification [61], [62].”