[HTML][HTML] An integrative survey on mental health conversational agents to bridge computer science and medical perspectives
Mental health conversational agents (aka chatbots) are widely studied for their potential to
offer accessible support to those experiencing mental health challenges. Previous surveys …
offer accessible support to those experiencing mental health challenges. Previous surveys …
Prompting large language models for zero-shot domain adaptation in speech recognition
The integration of Language Models (LMs) has proven to be an effective way to address
domain shifts in speech recognition. However, these approaches usually require a …
domain shifts in speech recognition. However, these approaches usually require a …
[HTML][HTML] Domain prompts: Towards memory and compute efficient domain adaptation of asr systems
ABSTRACT Automatic Speech Recognition (ASR) systems have found their use in
numerous industrial applications in very diverse domains creating a need to adapt to new …
numerous industrial applications in very diverse domains creating a need to adapt to new …
Lumos: Empowering Multimodal LLMs with Scene Text Recognition
We introduce Lumos, the first end-to-end multimodal question-answering system with text
understanding capabilities. At the core of Lumos is a Scene Text Recognition (STR) …
understanding capabilities. At the core of Lumos is a Scene Text Recognition (STR) …
Remember the context! asr slot error correction through memorization
Accurate recognition of slot values such as domain specific words or named entities by
automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue …
automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue …
Cross-utterance reranking models with BERT and graph convolutional networks for conversational speech recognition
How to effectively incorporate cross-utterance information cues into a neural language
model (LM) has emerged as one of the intriguing issues for automatic speech recognition …
model (LM) has emerged as one of the intriguing issues for automatic speech recognition …
Mask the bias: Improving domain-adaptive generalization of CTC-based ASR with internal language model estimation
End-to-end ASR models trained on large amount of data tend to be implicitly biased towards
language semantics of the training data. Internal language model estimation (ILME) has …
language semantics of the training data. Internal language model estimation (ILME) has …
Prompt-tuning in ASR systems for efficient domain-adaptation
Automatic Speech Recognition (ASR) systems have found their use in numerous industrial
applications in very diverse domains. Since domain-specific systems perform better than …
applications in very diverse domains. Since domain-specific systems perform better than …
Peningkatan Kinerja Chatbot NLP Asisten: Tinjauan Literatur tentang Metode dan Akurasi dalam Aplikasi Berbasis Percakapan
MIT Khaqiqi, NH Harani - Jurnal Informatika dan Teknologi …, 2024 - ejurnalunsam.id
Chatbots have been widely used in various industries such as e-commerce, banking,
healthcare, and education to improve efficiency and provide 24/7 services to users. In the …
healthcare, and education to improve efficiency and provide 24/7 services to users. In the …
Adoption of Artificial Intelligence-Enabled Bots in the Healthcare Education Industry: A Cost-Benefit Study
A few instances of artificial intelligence (AI) enabled chatbots and robots that are now being
utilised by the healthcare industries are chatbots, delivery robots, robot concierges …
utilised by the healthcare industries are chatbots, delivery robots, robot concierges …