Results for “speech-engine”
22 skillsMore results
content-engine
为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。
0
content-engine
Create platform-native content for X, LinkedIn, TikTok, YouTube, and newsletters by repurposing source material while preserving the author's authentic voice.
226k
content-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
1
content-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
1
text-to-speech
Generate natural speech from text using ElevenLabs voice AI, supporting 70+ languages, multiple models, and various output formats.
363 · bundle
speech-to-text
Transcribe audio to text using ElevenLabs Scribe v2, supporting 90+ languages, speaker diarization, and word-level timestamps.
363 · bundle
ivx-om-doubao-tts
Generate Mandarin and multilingual narration with Volcengine Doubao Speech 2.0. Use when creating Chinese voiceovers, when the user prefers Doubao/Volcengine/火山引擎/豆包 TTS, or when narration needs character-level timestamp metadata for subtitles.
0 · bundle
fal-audio
Text-to-speech and speech-to-text using fal.ai audio models
1
sag
ElevenLabs text-to-speech with mac-style say UX.
0
sentencepiece
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.
1 · bundle
sag
ElevenLabs text-to-speech with mac-style say UX.
228
fal-audio
Text-to-speech and speech-to-text using fal.ai audio models
6
sag
ElevenLabs text-to-speech with mac-style say UX.
0
sag
ElevenLabs text-to-speech with mac-style say UX.
0 · bundle
sentencepiece
Train and use SentencePiece tokenizers for multilingual NLP, supporting BPE and Unigram algorithms with raw Unicode text.
10.4k · bundle
sentencepiece
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.
0 · bundle
voice-agents
Voice Agents
128 · bundle
content-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
0
sag
ElevenLabs text-to-speech with mac-style say UX.
0
game-engine
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.
0 · bundle
sag
ElevenLabs text-to-speech with mac-style say UX.
2 · bundle