16 citations · 22 across the 17 of their papers we have counts for
19 papers
Typhoon ASR Streaming: Steerable Low-Latency Thai Speech Recognition with Real-Time Shallow Fusion
Warit Sirichotedumrong, Tanawin Samutsin, Shah Faisal Wani +2
Open Thai automatic speech recognition (ASR) is dominated by offline, Whisper-based models that read the whole utterance before transcribing, ruling out low-latency uses such as li…
Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech
Kunat Pipatanakul, Potsawee Manakul, Warit Sirichotedumrong +3
In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speake…
Typhoon ASR Real-time: FastConformer-Transducer for Thai Automatic Speech Recognition
Warit Sirichotedumrong, Adisai Na-Thalang, Potsawee Manakul +3
Large encoder-decoder models like Whisper achieve strong offline transcription but remain impractical for streaming applications due to high latency. However, due to the accessibil…
ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai
Surapon Nonesung, Teetouch Jaknamon, Sirinya Chaiophat +5
We present ThaiOCRBench, the first comprehensive benchmark for evaluating vision-language models (VLMs) on Thai text-rich visual understanding tasks. Despite recent progress in mul…
Extending Audio Context for Long-Form Understanding in Large Audio-Language Models
Yuatyong Chaichana, Pittawat Taveekitworachai, Warit Sirichotedumrong +2
Large Audio-Language Models (LALMs) are often constrained by short audio context windows, even when their text backbones support long contexts, limiting long-form audio understandi…
AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation
Potsawee Manakul, Woody Haosheng Gan, Michael J. Ryan +5
Current speech evaluation suffers from two critical limitations: the need and difficulty of designing specialized systems targeting individual audio characteristics, and poor corre…
FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning
Natapong Nitarach, Warit Sirichotedumrong, Panop Pitchayarthorn +3
This paper presents FinCoT, a structured chain-of-thought (CoT) prompting framework that embeds domain-specific expert financial reasoning blueprints to guide large language models…
Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models
Kunat Pipatanakul, Potsawee Manakul, Natapong Nitarach +9
This paper introduces Typhoon 2, a series of text and multimodal large language models optimized for the Thai language. The series includes models for text, vision, and audio. Typh…
Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models
Potsawee Manakul, Guangzhi Sun, Warit Sirichotedumrong +2
Audio language models process audio inputs using textual prompts for tasks like speech recognition and audio captioning. Although built on multilingual pre-trained components, most…
Visual Security Evaluation of Learnable Image Encryption Methods against Ciphertext-only Attacks
Warit Sirichotedumrong, Hitoshi Kiya
Various visual information protection methods have been proposed for privacy-preserving deep neural networks (DNNs). In contrast, attack methods on such protection methods have bee…
A GAN-Based Image Transformation Scheme for Privacy-Preserving Deep Neural Networks
Warit Sirichotedumrong, Hitoshi Kiya
We propose a novel image transformation scheme using generative adversarial networks (GANs) for privacy-preserving deep neural networks (DNNs). The proposed scheme enables us not o…
On the Security of Pixel-Based Image Encryption for Privacy-Preserving Deep Neural Networks
Warit Sirichotedumrong, Yuma Kinoshita, Hitoshi Kiya
This paper aims to evaluate the safety of a pixel-based image encryption method, which has been proposed to apply images with no visual information to deep neural networks (DNN), i…
Adversarial Test on Learnable Image Encryption
MaungMaung AprilPyone, Warit Sirichotedumrong, Hitoshi Kiya
Data for deep learning should be protected for privacy preserving. Researchers have come up with the notion of learnable image encryption to satisfy the requirement. However, exist…
Privacy-Preserving Deep Neural Networks with Pixel-based Image Encryption Considering Data Augmentation in the Encrypted Domain
Warit Sirichotedumrong, Takahiro Maekawa, Yuma Kinoshita +1
We present a novel privacy-preserving scheme for deep neural networks (DNNs) that enables us not to only apply images without visual information to DNNs for both training and testi…
Grayscale-Based Image Encryption Considering Color Sub-sampling Operation for Encryption-then-Compression Systems
Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya
A new grayscale-based block scrambling image encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems, which are used to securely transmi…
Encryption-then-Compression Systems using Grayscale-based Image Encryption for JPEG Images
Tatsuya Chuman, Warit Sirichotedumrong, Hitoshi Kiya
A block scrambling-based encryption scheme is presented to enhance the security of Encryption-then-Compression (EtC) systems with JPEG compression, which allow us to securely trans…
Compression Performance of Grayscale-based Image Encryption for Encryption-then-Compression Systems
Warit Sirichotedumrong, Tatsuya Chuman, Hitoshi Kiya
This paper considers a new grayscale-based image encryption for Encryption-then-Compression (EtC) systems with JPEG compression. Firstly, generation methods of grayscale-based imag…
Image Manipulation Specifications on Social Networking Services for Encryption-then-Compression Systems
Tatsuya Chuman, Kenta Iida, Warit Sirichotedumrong +1
Encryption-then-Compression (EtC) systems have been proposed to securely transmit images through an untrusted channel provider. In this study, EtC systems were applied to social me…
Grayscale-based Block Scrambling Image Encryption for Social Networking Services
Warit Sirichotedumrong, Tatsuya Chuman, Shoko Imaizumi +1
This paper proposes a new block scrambling encryption scheme that enhances the security of encryption-then-compression (EtC) systems for JPEG images, which are used, for example, t…