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AI#Text-to-Speech📝 BlogAnalyzed: Jan 3, 2026 05:28

Experimenting with Gemini TTS Voice and Style Control for Business Videos

Published:Jan 2, 2026 22:00
1 min read
Zenn AI

Analysis

This article documents an experiment using the Gemini TTS API to find optimal voice settings for business video narration, focusing on clarity and ease of listening. It details the setup and the exploration of voice presets and style controls.
Reference

“"The key to business video narration is 'ease of listening'. The choice of voice and adjustments to tone and speed can drastically change the impression of the same text."”

PermalinkZenn AI
Research#llm📝 BlogAnalyzed: Dec 24, 2025 17:10

Using MCP to Make LLMs Rap

Published:Dec 24, 2025 15:00
1 min read
Zenn LLM

Analysis

This article discusses the challenge of generating rhyming rap lyrics with LLMs, particularly in Japanese, due to the lack of phonetic information in their training data. It proposes using a tool called "Rhyme MCP" to provide LLMs with rhyming words, thereby improving the quality of generated rap lyrics. The article is from Matsuo Institute and is part of their Advent Calendar 2025. The approach seems novel and addresses a specific limitation of current LLMs in creative text generation. It would be interesting to see the implementation details and results of using the "Rhyme MCP" tool.
Reference

“最新のLLMは様々なタスクで驚異的な性能を発揮していますが、「韻を踏んだラップ歌詞」の自動生成は未だに苦手としています。”

PermalinkZenn LLM
Product#Voice AI👥 CommunityAnalyzed: Jan 10, 2026 15:21

Vocera: Voice AI Testing and Observability Platform Enters the Market

Published:Dec 3, 2024 15:46
1 min read
Hacker News

Analysis

The article announces the launch of Vocera, a platform focused on testing and observability for Voice AI. This suggests a growing need for robust tools to manage and monitor the performance of voice-based AI applications.

Key Takeaways

Reference

“Vocera (YC F24) - Testing and Observability for Voice AI”

PermalinkHacker News
Research#llm👥 CommunityAnalyzed: Jan 3, 2026 16:48

Personalized AI Tutor with < 1s Voice Responses

Published:Jul 24, 2024 13:41
1 min read
Hacker News

Analysis

The article describes the creation of a personalized AI tutor, specifically modeled after Andrej Karpathy, that provides voice responses in under a second. The project utilizes a voice-enabled RAG agent and focuses on achieving low latency through local processing. The authors highlight the challenges of existing solutions in terms of flexibility and scalability, and detail their technical setup including local STT, embedding, vector database, and LLM. The article emphasizes the importance of local processing for achieving sub-second response times.
Reference

“The article highlights the need for a more flexible and scalable solution than existing voice-based AI platforms, emphasizing the importance of local processing to achieve sub-second response times.”

PermalinkHacker News