
Candle
Minimalist ML framework for Rust with a focus on performance and ease of use.

A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation.
VoxPopuli is a large-scale multilingual speech corpus comprising 400K hours of unlabelled speech data for 23 languages, 1.8K hours of transcribed speech data for 16 languages, 17.3K hours of speech-to-speech interpretation data for 15x15 directions, and 29 hours of transcribed speech data of non-native English. The raw data originates from European Parliament event recordings spanning 2009-2020. The corpus supports representation learning, semi-supervised learning, and speech-to-speech interpretation research. The dataset is formatted in Ogg Vorbis (16000Hz, 16-bit, mono-channel) and can be accessed through provided scripts for downloading, segmenting, and aligning the data, facilitating integration with common audio processing libraries such as libsndfile and libsox. Pre-trained wav2vec 2.0 models are also available.
VoxPopuli is a large-scale multilingual speech corpus comprising 400K hours of unlabelled speech data for 23 languages, 1.
Explore all tools that specialize in speech recognition. This domain focus ensures VoxPopuli delivers optimized results for this specific requirement.
Explore all tools that specialize in speech translation. This domain focus ensures VoxPopuli delivers optimized results for this specific requirement.
Explore all tools that specialize in representation learning. This domain focus ensures VoxPopuli delivers optimized results for this specific requirement.
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Minimalist ML framework for Rust with a focus on performance and ease of use.

A large conversational telephone speech corpus for speech recognition and speaker identification research.

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A powerful shell designed for interactive use and scripting.

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