Topic
Speech Models: Speech-to-Text & Text-to-Speech
7 posts on speech models: speech-to-text & text-to-speech — part of glossary on the n4n AI blog.
What is text-to-speech and how neural TTS works
A technical explainer covering what text-to-speech is, how neural TTS architectures work, and practical considerations for engineers integrating speech synthesis.
What is speech-to-text AI and how it transcribes audio
A technical explainer of speech-to-text AI covering architecture, decoding strategies, streaming vs batch trade-offs, and practical integration patterns for engineers.
How Whisper compares to newer speech-to-text models
A practical head-to-head comparison of Whisper against newer speech-to-text models across capabilities, cost, latency, and operational reality for engineers building voice features.
How speech models power voice assistants and call centers
A practical guide to integrating speech-to-text and text-to-speech models into voice assistants and call center systems, with code patterns and architectural tradeoffs.
How real-time speech-to-text streaming works
A practical guide to building real-time speech-to-text streaming systems — architecture, protocols, buffering strategies, and production pitfalls.
How multilingual speech-to-text models handle accents
A practical guide to how multilingual speech-to-text models handle accents, with evaluation strategies and production tradeoffs for engineers.
Comparing TTS voice quality across providers
A practitioner's head-to-head TTS voice quality comparison across ElevenLabs, OpenAI, Google, Azure, Amazon, and emerging providers — covering latency, pricing, streaming, and voice control APIs.
More topics in glossary
- Structured Outputs & JSON Mode19
- AI Agents Fundamentals12
- Hallucination in LLMs11
- Sampling Parameters: Top-p, Top-k & Penalties11
- Context Window & Context Length10
- Fine-Tuning Fundamentals9
- Foundation Models: Base vs Instruct vs Chat9
- Model Families & Naming Conventions: GPT-5, Claude, Gemini 3, Llama 4, Mistral, DeepSeek, Qwen, Grok9
- Grounding & Fact-Checking in AI8
- LLM Benchmarks: MMLU, HumanEval, SWE-bench & GPQA8
- Max Tokens, Stop Sequences & Output Truncation8
- Quantization Formats: GGUF, GPTQ, AWQ & INT4/INT88