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Found 7 papers, 2 papers with code
Shennong: a Python toolbox for audio speech features extraction
After describing the Shennong software architecture, its core components and implemented algorithms, this paper illustrates its use on three applications: a comparison of speech features performances on a phones discrimination task, an analysis of a Vocal Tract Length Normalization model as a function of the speech duration used for training and a comparison of pitch estimation algorithms under various noise conditions.
The Zero Resource Speech Challenge 2021: Spoken language modelling
We present the Zero Resource Speech Challenge 2021, which asks participants to learn a language model directly from audio, without any text or labels.
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels.
The Zero Resource Speech Challenge 2019: TTS without T
We present the Zero Resource Speech Challenge 2019, which proposes to build a speech synthesizer without any text or phonetic labels: hence, TTS without T (text-to-speech without text).
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
In order to reach human performance on complexvisual tasks, artificial systems need to incorporate a sig-nificant amount of understanding of the world in termsof macroscopic objects, movements, forces, etc.
The Zero Resource Speech Challenge 2017
We describe a new challenge aimed at discovering subword and word units from raw speech.
The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
This study explores the role of speech register and prosody for the task of word segmentation.
