[HTML][HTML] Progress in machine translation
After more than 70 years of evolution, great achievements have been made in machine
translation. Especially in recent years, translation quality has been greatly improved with the …
translation. Especially in recent years, translation quality has been greatly improved with the …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Direct speech-to-speech translation with discrete units
We present a direct speech-to-speech translation (S2ST) model that translates speech from
one language to speech in another language without relying on intermediate text …
one language to speech in another language without relying on intermediate text …
Transformers in speech processing: A survey
The remarkable success of transformers in the field of natural language processing has
sparked the interest of the speech-processing community, leading to an exploration of their …
sparked the interest of the speech-processing community, leading to an exploration of their …
CVSS corpus and massively multilingual speech-to-speech translation
We introduce CVSS, a massively multilingual-to-English speech-to-speech translation
(S2ST) corpus, covering sentence-level parallel S2ST pairs from 21 languages into English …
(S2ST) corpus, covering sentence-level parallel S2ST pairs from 21 languages into English …
Unity: Two-pass direct speech-to-speech translation with discrete units
Direct speech-to-speech translation (S2ST), in which all components can be optimized
jointly, is advantageous over cascaded approaches to achieve fast inference with a …
jointly, is advantageous over cascaded approaches to achieve fast inference with a …
Enhanced direct speech-to-speech translation using self-supervised pre-training and data augmentation
Direct speech-to-speech translation (S2ST) models suffer from data scarcity issues as there
exists little parallel S2ST data, compared to the amount of data available for conventional …
exists little parallel S2ST data, compared to the amount of data available for conventional …
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation
We present Translatotron 2, a neural direct speech-to-speech translation model that can be
trained end-to-end. Translatotron 2 consists of a speech encoder, a linguistic decoder, an …
trained end-to-end. Translatotron 2 consists of a speech encoder, a linguistic decoder, an …
Polyvoice: Language models for speech to speech translation
We propose PolyVoice, a language model-based framework for speech-to-speech
translation (S2ST) system. Our framework consists of two language models: a translation …
translation (S2ST) system. Our framework consists of two language models: a translation …
Vision transformer for detecting critical situations and extracting functional scenario for automated vehicle safety assessment
Automated Vehicles (AVs) are attracting attention as a safer mobility option thanks to the
recent advancement of various sensing technologies that realize a much quicker Perception …
recent advancement of various sensing technologies that realize a much quicker Perception …