Results for “librispeech”

Generate natural speech from text using ElevenLabs voice AI, supporting 70+ languages, multiple models, and various output formats.

Transcribe audio to text using ElevenLabs Scribe v2, supporting 90+ languages, speaker diarization, and word-level timestamps.

Takes a conference or event speakers URL, extracts the people, filters their companies against the user's ICP, and deep-researches only the speakers at ICP-fit companies. Outputs a person-first HTML report with a 'why reach out' rationale per person.

Generate spoken audio for narration, voiceovers, IVR prompts, and accessibility reads using the OpenAI Audio API with bundled CLI and built-in voices.

Search and retrieve public domain books from Project Gutenberg via the Gutendex API. Use when the user asks for free ebooks, searches by author/title, or explores specific literary topics. No API key required.

李白（古典诗人）认知与表达框架（压缩蒸馏）：豪放与自我投射、酒与月意象、功名张力… 触发：诗仙、将进酒 等。非历史定论；不伪造诗句

Upserts a validated MDX book corpus into Supabase via Drizzle, hydrating books, chapters, sections, and chunks tables while preserving stable bookmark anchors and only re-embedding changed content.

Automate ElevenLabs text-to-speech workflows: generate speech from text, browse and inspect voices, check subscription limits, list models, stream audio, and retrieve history via the Composio MCP integration.

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

Convert books into supervised fine-tuning datasets and train style-transfer models that replicate an author's voice.

吕秀才（情景喜剧虚构）认知与表达框架（压缩蒸馏）：子曰嘴炮、读书人迂阔与意外高光 触发：武林外传 等。虚构

Transcribe audio to text using ElevenLabs Scribe and Whisper models via the inference.sh CLI, supporting timestamps, speaker diarization, translation, and multi-language transcription.

Transcribe and translate speech across 99 languages using OpenAI's Whisper model, with support for multiple model sizes, batch processing, and subtitle generation.

ガイド・教科書・チートシート・語彙帳・チュートリアル作成の最初の入り口（ディスパッチャ）。内容から「読む系（詳細ガイド）」「引く系（チートシート/語彙帳）」をLLMが判定し、確認後に guide-builder か textbook-guide に分岐。ユーザーは種別を覚えなくてよい。 「ガイド作って」「教科書作って」「チートシート作って」「語彙帳作って」「チュートリアル作って」「/make-guide」で発火。

AI-native publishing system: autonomous multi-phase workflows from ideation to export. Fiction, non-fiction, and technical books. Trigger: /velith or book-related requests.

Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.

Use when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized README variants in a GitHub-style repository.

Run multi-agent research discourse session. Use when the user requests to "start a research party" or "run a journal club".

Generate high-quality speech from text using ElevenLabs' premium voices, with support for 32 languages, multiple models, and voice tuning parameters.

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

AI-native publishing system: autonomous multi-phase workflows from ideation to export. Fiction, non-fiction, and technical books. Trigger: /velith or book-related requests.

Generate multi-speaker dialogue audio with different voices in a single file using the inference.sh CLI.

Develop reusable library code across languages. Use when designing public APIs, organizing modules, managing versioning, or creating utility libraries. Provides foundational patterns that language-specific *-lib-* skills extend.

Use quando o usuário solicita narração em texto-para-fala, voiceovers de acessibilidade, prompts de áudio ou geração em lote via OpenAI Audio API; execute a CLI incluída (`scripts/text_to_speech.py`) com vozes integradas e requer `OPENAI_API_KEY` para chamadas diretas. Criação de vozes customizadas está fora do escopo.

Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.

Interact with openLesson tutoring API for Socratic learning: generate learning plans as directed graphs, start audio-based tutoring sessions, analyze reasoning gaps, and manage tutoring workflows. Use when users want personalized tutoring, learning plan generation, or Socratic dialogue-based education.

Local text-to-speech via sherpa-onnx (offline, no cloud)

Generate spoken audio from text using OpenAI's API with built-in voices for narrated explainers, lecture audio, and quick voiceover tracks.

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days).

Text-to-speech and speech-to-text using fal.ai audio models

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

Use for the search-planning stage of a literature review, when database lanes and language layers must be chosen, when DOI coverage policy is unclear, or when inclusion and exclusion criteria need drafting before any source is read; not for running the screening and PRISMA pipeline of a formal review, which is prisma-scoping-review-pipeline.

OpenProse VM skill pack. Activate on any `prose` command, .prose files, or OpenProse mentions; orchestrates multi-agent workflows.

Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.