'audio processing' 검색 결과

Plan a Zoom meeting bot or recorder, including how it joins meetings, handles live audio, video, and transcripts, and connects backend services for storage, post-processing, and event handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a bot that joins Zoom meetings
• Planning live audio, video, and transcript processing
• Organizing post-meeting storage and retries

Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Volcano Engine AI MediaKit talking-head video editing Skill: a one-stop workflow from environment setup through media management, audio processing, talking-head cuts, video export, review UI, and iterative refinement. You MUST invoke this Skill when the user mentions talking-head editing, cutting talking video, video editing, removing pauses, processing audio, exporting talking video, automatic editing, removing verbal slips, or similar. Also invoke when the user uploads video or audio and asks for editing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Video and audio processing capabilities for Flutter applications

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Video and audio processing capabilities for Flutter applications

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

음성 파일을 OpenAI 전사 API로 보내 결과를 텍스트나 JSON으로 저장합니다. 모델과 언어를 지정하고 화자별로 발언을 구분할 수 있습니다.

• 회의 녹음을 텍스트로 변환합니다
• 인터뷰에서 화자를 구분합니다
• 전사 결과를 JSON으로 저장합니다

음성 파일을 로컬에서 받아쓰기하여 텍스트나 번역 자막으로 저장합니다. API 키 없이 모델 크기를 선택해 처리 속도와 정확도를 조절할 수 있습니다.

• 녹음한 음성을 텍스트로 변환
• 음성 파일로 번역 자막 제작
• 속도와 정확도에 맞는 모델 선택

ComfyUI 워크플로로 이미지, 영상, 음성, 3D 콘텐츠를 생성합니다. 모델과 추가 노드 준비, 조건을 바꾼 일괄 생성, 진행 상황 확인도 다룹니다.

• Stable Diffusion이나 Flux로 이미지 생성
• 기존 이미지 변환과 지정 영역 다시 그리기
• 생성 조건을 바꿔 여러 후보 일괄 제작

List saved tracks in a connected Cognitum Music account, newest first, with titles, durations, IDs, processing status, and audio links. Find tracks by part of their title and obtain the IDs needed for subsequent music tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing saved tracks
• Finding a track by part of its title
• Checking stem, MIDI, and mastering status

Transcribe audio and video with ElevenLabs Scribe v2 in over 90 languages. Identify different speakers and capture word timings for meeting records, interviews, and subtitle preparation, with live transcription also covered.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transcribing meeting recordings with speaker labels
• Preparing timed text for video subtitles
• Transcribing interviews with specialized terms

Help implement Azure OpenAI features in C# and .NET applications using SDK examples. Cover authentication, chat, document-backed answers, image generation, and audio processing, including transcription and speech generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding streaming chat to a .NET application
• Generating JSON responses in a defined format
• Building answers backed by Azure AI Search

Helps build Python workflows that extract information from documents, images, audio, and video using Azure AI Content Understanding. Covers document text, timed transcripts, video frames, and invoice fields for search and automated processing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing document content for AI search
• Transcribing audio with timestamps
• Extracting transcripts and key frames from video

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Turn voice calls into GBrain records containing transcripts, summaries, audio links, and references to people or companies. The workflow also sends summaries to a configured messaging service; automatic processing when calls end requires additional implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keep a transcript and summary of a voice call
• Review call decisions alongside the original audio
• Link call records to people and company pages

Helps developers build systems that receive live Zoom audio, video, transcripts, chat, and screen sharing. Covers SDK setup, persistent WebSocket connections, media selection, and troubleshooting for recording, transcription, and meeting assistants.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a live meeting transcription pipeline
• Receive audio and video for custom recording
• Design media ingestion for an AI meeting assistant

Build Gemini API integrations on Google Cloud’s Agent Platform using the Google Gen AI SDK. Get guidance on authentication, text and media processing, structured JSON responses, function calls, caching, batch processing, and real-time voice or video interactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Gemini to enterprise applications
• Processing images, audio, and documents
• Generating JSON in a specified format

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Detect speech segments in audio using VAD tools like Silero VAD, SpeechBrain VAD, or WebRTC VAD. Use when preprocessing audio for speaker diarization, filtering silence, or segmenting audio into speech chunks. Choose Silero VAD for short segments, SpeechBrain VAD for general purpose, or WebRTC VAD for lightweight applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert blueprint for rhythm games including audio synchronization (BPM conductor, latency compensation with AudioServer.get_time_since_last_mix), note highways (scroll speed, timing windows), judgment systems (Perfect/Great/Good/Bad/Miss), scoring with combo multipliers, input processing (lane-based, hold note detection), and chart/beatmap loading. Based on DDR/osu!/Beat Saber research. Trigger keywords: rhythm_game, audio_sync, timing_judgment, note_highway, combo_system, BPM_conductor, latency_compensation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert blueprint for rhythm games including audio synchronization (BPM conductor, latency compensation with AudioServer.get_time_since_last_mix), note highways (scroll speed, timing windows), judgment systems (Perfect/Great/Good/Bad/Miss), scoring with combo multipliers, input processing (lane-based, hold note detection), and chart/beatmap loading. Based on DDR/osu!/Beat Saber research. Trigger keywords: rhythm_game, audio_sync, timing_judgment, note_highway, combo_system, BPM_conductor, latency_compensation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.