'audio' 검색 결과

Build text, image, and audio features in JavaScript using machine learning models that run in browsers or server runtimes. Covers model selection, execution settings, caching, and memory cleanup without requiring a Python server.

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• Add sentiment analysis to a JavaScript app
• Build image classification in a browser
• Implement audio transcription

Render landscape videos with KrillinAI CLI, combining original footage with bilingual subtitles or prepared dubbed footage with target-language subtitles. Optionally replace audio, adjust subtitle styling, and verify the output video and subtitle placement.

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• Render landscape videos with bilingual subtitles
• Add target-language subtitles to prepared dubbed footage
• Replace audio or customize subtitle styling

Prepare training datasets for large language models with GPU-assisted cleaning. Covers duplicate removal, quality filtering, and personal information redaction, with workflows for text, images, video, and audio using NeMo Curator.

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• Clean web data for model training
• Remove exact and near duplicates from large text collections
• Redact personal information from training text

Convert text into spoken audio for video narration, audiobooks, reading assistance, or language practice. The skill uses Edge-TTS preset voices in languages including Japanese, English, and Chinese, with voice selection guided by the text and requested tone.

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• Create narration for videos
• Turn stories into spoken audio
• Listen to documents read aloud

Prepare five-scene prompts and parameter tables for product videos featuring a digital presenter in InfiniteTalk. Specify timed movements, check character consistency, and plan audio and image preparation for a 25-second vertical video.

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• Plan a five-scene product recommendation video
• Create prompts for price comparisons or promotions
• Check character consistency, movement, and audio alignment

Create talking videos from a portrait or existing video and an audio file, with mouth movements, expressions, and body motion aligned to speech. It supports long videos, replacement audio, and speech generated from text.

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• Creating a talking video from a portrait and narration
• Making long videos with a virtual presenter
• Generating a video with replacement audio

Add burned-in captions to a finished video using Whisper timings from its own audio. Choose paper, bold, or clean styling, and optionally use narration text to preserve intended spelling. Outputs include the captioned video and an SRT file.

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• Adding captions to a finished video
• Restyling captions for social media shorts
• Preserving brand names and numbers from a narration script

Use the HyperFrames command-line tool to set up HTML-based video projects, check structure and text overflow, preview compositions, and export video. It also covers audio transcription, text-to-speech generation, and environment troubleshooting.

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• Starting a video project from a template
• Checking text overflow before rendering
• Previewing and exporting MP4 or WebM video

Add or revise scene narration and speech-linked captions in the active iPolloWork video. Use configured voices, actual audio files, and measured alignment to adjust timing while preserving music, sound effects, and previous speech until replacement succeeds.

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• Add narration to a scene
• Revise existing speech
• Update captions using saved speech alignment

Parse web pages and authorized local documents, audio, or video with Cue Omni Reader. Use the complete results to summarize content, answer questions, locate sections, or save the parsed output.

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• Summarizing a web page from its URL
• Answering questions about a local document
• Reviewing the content of audio or video

Generate videos from text or images, edit existing clips, and extend scenes with Gemini Omni 1.1 Flash. Includes scripts for preparing source footage, regenerating audio, refining previous results, and processing multiple video jobs.

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• Generate a short video from text or a still image
• Create a transition between two images
• Change a video's style or regenerate its audio

Build applications that exchange live audio, video, and text with the Gemini Live API. Covers voice conversations, streaming transcription and translation, session recovery, authentication, and migration from older Live models in Python or JavaScript/TypeScript.

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• Build an AI app for live voice conversations
• Add real-time transcription or speech translation
• Send camera or screen frames alongside audio

Upgrade Expo SDK projects and resolve dependency issues with a structured migration checklist. The skill covers diagnostics, deprecated package replacements, configuration cleanup, native project considerations, and checks for navigation, camera, audio, and video features.

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• Upgrade an Expo SDK project and align dependencies
• Migrate deprecated audio and video packages
• Review obsolete configuration and patches

Turn scripts or other text into narration and read-aloud audio, with optional SRT subtitle files timed by sentence. Choose voices and adjust speech settings, then pass the audio to shared scripts for mixing or video narration.

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• Creating narration from a video script
• Generating read-aloud audio with subtitles
• Adjusting voices and speaking speed

Convert documents, spreadsheets, images, and audio into structured Markdown for AI processing. Extract tables, recognize text in images, transcribe audio, and batch convert files using command-line tools or Python.

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• Convert PDF papers into Markdown
• Extract Excel tables for analysis
• Recognize text in scanned documents

Build English clinical speech-recognition benchmarks by selecting medical terms, checking pronunciations, and generating synthetic audio. Outputs include audio files and a NeMo manifest, a structured file listing recordings and metadata, ready for a separate scoring stage.

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• Building a speech-recognition benchmark for a clinical specialty
• Checking synthesized pronunciations of drug and procedure names
• Generating evaluation audio across voices, noise, and contexts

Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.

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Listen with earshot whenever you must judge, choose, trim, verify or compare sound you cannot hear - picking a sound effect, music or ambience from candidates, finding the cleanest moment in a recording, checking whether audio reads as a real recording or as code-synthesized, reviewing a soundtrack or a video's audio (what happens when, sync to picture, loudness, mix), A/B-ing a mix change, or making a sound in code and improving it by listening (earshot forge). Use it before telling anyone how audio sounds.

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Generate AI videos using ByteDance Seedance models via Volcengine Ark API. Supports text-to-video, image-to-video (first frame, first+last frame), multimodal reference (images+videos+audio), video editing, video extension, web search enhancement, audio generation, draft mode, offline inference, and continuous video chaining. Use when user wants to generate, create, edit, or extend AI videos from text prompts, images, videos, or audio.

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Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML. Use when asked to build any HTML-based video content, add captions or subtitles synced to audio, generate text-to-speech narration, create audio-reactive animation (beat sync, glow, pulse driven by music), add animated text highlighting (marker sweeps, hand-drawn circles, burst lines, scribble, sketchout), or add transitions between scenes (crossfades, wipes, reveals, shader transitions). Covers composition authoring, timing, media, and the full video production workflow. For CLI commands (init, lint, preview, render, transcribe, tts) see the hyperframes-cli skill.

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Calculate per-second RMS energy from audio files. Use when you need to analyze audio volume patterns, prepare data for silence/pause detection, or create an energy profile for audio analysis tasks.

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Extract, normalize, mix, and process audio tracks - audio manipulation and analysis

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Google Text-to-Speech (gTTS) for converting text to audio. Use when creating audiobooks, podcasts, or speech synthesis from text. Handles long text by chunking at sentence boundaries and concatenating audio segments with pydub.

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Combine visual features (face detection, lip movement analysis) with audio features to improve speaker diarization accuracy in video files. Use OpenCV for face detection and lip movement tracking, then fuse visual cues with audio-based speaker embeddings. Essential when processing video files with multiple visible speakers or when audio-only diarization needs visual validation.

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