Results for “speech”

Production guidance for international BytePlus Seed Speech text-to-speech. Use for selecting TTS 1.0 versus 2.0, bidirectional or unidirectional streaming, current voices and languages, prompt/prosody controls, subtitle timing validation, billing and concurrency, authorized replicated voices, privacy, error handling, and output QA. Do not use for mainland-China Volcengine Doubao Speech endpoints.

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Internal speech module for /codeck. Reads deck content, asks about style and duration only when missing, generates a verbatim speech transcript with stage directions. Outputs $DECK_DIR/speech.md.

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Transcribes and analyzes speech with the Deepgram API: pre-recorded audio, real-time streaming, text-to-speech and voice agents. Use when a user asks to convert speech to text, implement real-time transcription, add speaker labels or summaries to a recording, detect languages, build a voice agent with turn detection, or integrate Deepgram SDKs (JavaScript or Python).

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Replaces the voice in a video or audio file with one from the Novoads voice catalog, over the REST API. Converts the SPEECH in the source to a voice you pick, keeps the original timing so lip-sync survives, and returns audio that gets muxed back over the untouched picture locally. Casts by MEASURING the source voice against auditioned candidates instead of reading labels, refuses a source with no speech before anything is charged, fences sound effects and music so they survive from the original track, and verifies the finished file by transcribing it. Use when an actor's voice sounds robotic, flat, thin or simply wrong, and for "change the voice", "voice swap", "swap the voice on this ad", "re-voice my ad", "the actor's voice sounds bad", "make him sound human", "different voice for this video", "speech to speech", "same video better voice". Not for narrating a silent clip (that is a voice-over), not translation, and it changes neither pronunciation nor accent.

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Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.

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Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.

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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.

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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.

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OpenAI API (developers.openai.com) の音声 API リファレンス。 GPT-Live (gpt-live-1, full-duplex, delegation, /v1/live/sessions), Realtime API (WebRTC / WARP / WebSocket / SIP, sessions / events, client secrets, VAD (server_vad / semantic_vad), tools/MCP), speech-to-speech voice agents, speech-to-text (gpt-transcribe / gpt-live-transcribe), text-to-speech, custom voices, translation。

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Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.

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Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.

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Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.

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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.

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Turn text into speech with ElevenLabs using the sag command line tool. Choose a voice, adjust pronunciation and delivery, play audio locally, or save a file to send as a spoken response.

• Reading text aloud on your computer
• Saving spoken replies as audio files
• Choosing and checking a reading voice

Convert text into speech locally with sherpa-onnx and save it as a WAV audio file. After installing the runtime and a voice model, generate audio offline without using a cloud service.

• Save text as a spoken WAV file
• Generate speech without connecting to a cloud service
• Switch voice models to use another voice

Turn audio and video into text across 99 languages, translate speech into English, and create timestamped subtitles. The skill covers model selection, transcription settings, and batch processing for recordings such as meetings and podcasts.

• Transcribing recorded meetings
• Turning podcasts and videos into text
• Translating foreign-language recordings into English

Turn video speech into subtitles, refine and translate the text, and embed subtitles in the video. Review tools compare subtitles with an approved script and generate a preview frame before final export.

• Transcribe speech from a video into subtitles
• Translate subtitles for another language audience
• Export a video with embedded subtitles

Use the MiniMax API from the command line to generate chat responses and turn text into speech. Select models and voices, adjust speech settings, and save audio files for further use.

• Generate explanations or writing through chat
• Receive text responses as they are generated
• Save written text as spoken audio

Create subtitles from video or audio, refine and translate subtitle text, and burn captions into video. Control bilingual layouts and visual styles, including fonts, colors, outlines, and rounded backgrounds, or export subtitle files separately.

• Adding translated subtitles to a video
• Exporting speech as SRT subtitles
• Displaying original and translated subtitles together

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.

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

Create narration that fits fixed video segments or a continuous long story using one selected voice. Check speech duration and pauses when local tools are available, and adjust wording through regeneration to meet timing requirements.

• Producing narration for fixed-length video segments
• Reading a long story in one consistent voice
• Regenerating takes with timing or pause problems

Find recent arXiv papers on EEG, or brainwave, decoding and brain-computer interfaces. Evaluate candidates using five quality criteria, select the top three, and save structured Chinese and English reviews with paper metadata as Markdown files.

• Tracking recent EEG decoding papers
• Finding research on speech decoding from EEG
• Comparing brain foundation model papers

Implement Gemini API applications in Python or TypeScript for text, image, video, and speech generation. Covers ongoing conversations, external tool calls, structured responses, background research, managed agents, and migration from the older generateContent API.

• Build a chatbot that retains conversation context
• Add image, video, or speech generation to an app
• Connect external tools and return structured data

Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal like "improve/fine-tune ASR for my domain or language", it scopes the task, picks the cheapest sufficient path (word boosting → n-gram LM → fine-tuning), delegates each stage to the right sub-skill (data generation, training, evaluation, deployment), and answers cost/time/data questions along the way.

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