1 citations · 1 across the 14 of their papers we have counts for
14 papers
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…
Scaling Open Discrete Audio Foundation Models with Interleaved Semantic, Acoustic, and Text Tokens
Potsawee Manakul, Woody Haosheng Gan, Martijn Bartelds +3
Current audio language models are predominantly text-first, either extending pre-trained text LLM backbones or relying on semantic-only audio tokens, limiting general audio modelin…
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…
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…
Granular feedback merits sophisticated aggregation
Anmol Kagrecha, Henrik Marklund, Potsawee Manakul +2
Human feedback is increasingly used across diverse applications like training AI models, developing recommender systems, and measuring public opinion -- with granular feedback ofte…
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…
Prior Prompt Engineering for Reinforcement Fine-Tuning
Pittawat Taveekitworachai, Potsawee Manakul, Sarana Nutanong +1
This paper investigates prior prompt engineering (pPE) in the context of reinforcement fine-tuning (RFT), where language models (LMs) are incentivized to exhibit behaviors that max…
Assessing Thai Dialect Performance in LLMs with Automatic Benchmarks and Human Evaluation
Peerat Limkonchotiwat, Kanruethai Masuk, Surapon Nonesung +4
Large language models show promising results in various NLP tasks. Despite these successes, the robustness and consistency of LLMs in underrepresented languages remain largely unex…
Adapting Language-Specific LLMs to a Reasoning Model in One Day via Model Merging -- An Open Recipe
Kunat Pipatanakul, Pittawat Taveekitworachai, Potsawee Manakul +1
This paper investigates data selection and model merging methodologies aimed at incorporating advanced reasoning capabilities such as those of DeepSeek R1 into language-specific la…
Typhoon T1: An Open Thai Reasoning Model
Pittawat Taveekitworachai, Potsawee Manakul, Kasima Tharnpipitchai +1
This paper introduces Typhoon T1, an open effort to develop an open Thai reasoning model. A reasoning model is a relatively new type of generative model built on top of large langu…
Mind the Gap! Static and Interactive Evaluations of Large Audio Models
Minzhi Li, William Barr Held, Michael J Ryan +4
As AI chatbots become ubiquitous, voice interaction presents a compelling way to enable rapid, high-bandwidth communication for both semantic and social signals. This has driven re…
Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments
Patomporn Payoungkhamdee, Pume Tuchinda, Jinheon Baek +6
Multi-step reasoning is essential for large language models (LLMs), yet multilingual performance remains challenging. While Chain-of-Thought (CoT) prompting improves reasoning, it…
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…