GitHub - fishaudio/fish-speech: Brand new TTS solutionYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
VS Code Speech - Visual Studio Marketplace
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter. Speech extension for Visual Studio Code The Speech extension for Visual Studio Code adds speech-to-text capabilities to the chat interfaces in Visual Studio Code. No internet connection is required, the voice audio data is processed locally on your computer. Getting Started Install the GitHub Copilot Chat extension a
superwhisperã§ã®éŸ³å£°å…¥åŠ›ã‚’試ã™
superwhisperã¨ã„ã†ã€whisper.cppを使ã£ãŸéŸ³å£°å…¥åŠ›ãŒã§ãã‚‹macOSアプリケーションを最近使ã£ã¦ã„ã¾ã™ã€‚ 基本的ã«ã¯ggerganov/whisper.cppã®ãƒ¢ãƒ‡ãƒ«ã‚’使ã£ã¦ã€éŸ³å£°èªè˜ã—ãªãŒã‚‰æ–‡å—入力ãŒã§ãるアプリケーションã§ã™ã€‚ 特徴 Whisperã®èªè˜ç²¾åº¦ãŒé«˜ã„ ã‹ãªã‚Šæ—©ãå–‹ã£ã¦ã‚‚èªè˜ã—ã¦ãれる 日本語もèªè˜ã—ã¦ãれるモデルãŒã‚ã‚‹ 日本語ã§å–‹ã£ã¦è‹±èªžã«ç¿»è¨³ã—ã¦ãれる機能もã‚ã‚‹ オフライン対応 有料: サブスク 㨠買ã„切り ã®2種類ã®ãƒ—ランãŒã‚ã‚‹ ç„¡æ–™ã§15分ã®ãƒˆãƒ©ã‚¤ã‚¢ãƒ«ã€ãã®å¾Œã¯é¸ã¹ã‚‹ãƒ¢ãƒ‡ãƒ«ãŒåˆ¶é™ã•ã‚Œã‚‹ å…¬å¼ã‚µã‚¤ãƒˆã®ãƒ‡ãƒ¢ã‚’ã¿ã‚‹ã¨ã€ã‹ãªã‚Šæ—©ãå–‹ã£ã¦ã‚‚èªè˜ã—ã¦ãれるã®ãŒã‚ã‹ã‚Šã¾ã™ã€‚ 大抵ã®äººã«ã¨ã£ã¦ã¯ã€å¤šåˆ†æ–‡å—入力ã™ã‚‹ã‚ˆã‚Šã—ゃã¹ã£ãŸã»ã†ãŒæ—©ã„ãらã„ã®å…¥åŠ›é€Ÿåº¦ãŒå‡ºã‚‹ã¨æ€ã„ã¾ã™ã€‚ superwhisper é•·æ–‡ã¯ãã“ã¾ã§å¾—æ„ã˜ã‚ƒãªã„ã‘ã©ã€1è¡Œã¨ã‹2è¡Œãらã„ã®æ–‡ç« ã¯ã‹ãªã‚Š
音声ã®å¤šæ§˜ãªæƒ…å ±ã‚’å¼•ã出ã—ã€æ©Ÿæ¢°ã«ä¼ãˆã‚‹ãŸã‚ã®ãƒ‘ラ言語èªè˜ã€œæ„図態度èªè˜ãƒ»æ„Ÿæƒ…èªè˜ã§ä½•ãŒã§ãるよã†ã«ãªã‚‹ã®ã‹ã€œ
ã¯ã˜ã‚ã«ï¼šæ©Ÿæ¢°ãŒäººã®ç™ºè©±ã‚’ç†è§£ã™ã‚‹ãŸã‚ã«ã¯æ„図・態度・感情ã®èªè˜ãŒå¿…é ˆ è¿‘å¹´ã€æµæš¢ãªä¼šè©±èª¿ã®æ–‡ç« を自動的ã«ç”Ÿæˆã™ã‚‹æŠ€è¡“ãŒç™»å ´ã—ã€äººã¨æ—¥å¸¸ä¼šè©±ãŒå¯èƒ½ãªæ©Ÿæ¢°ãŒå®Ÿç¾ã™ã‚‹ã“ã¨ã«æœŸå¾…ãŒé«˜ã¾ã£ã¦ã„ã¾ã™ã€‚テã‚ストを入出力ã¨ã—ãŸãƒãƒ£ãƒƒãƒˆã§ã¯ã€ã™ã§ã«æ©Ÿæ¢°ãŒæµæš¢ãªå¿œç”ã‚’ã—ã¦ãれるよã†ã«ãªã£ãŸã®ã¯çš†ã•ã‚“も実感ãªã•ã£ã¦ã„ã‚‹ã¨æ€ã„ã¾ã™ã€‚ 一方ã§ã€äººã¨æ©Ÿæ¢°ãŒéŸ³å£°ã§å¯¾è©±ã™ã‚‹ã“ã¨ã‚’考ãˆã¦ã¿ã¾ã—ょã†ã€‚音声ã«ã¯ã€ãƒ†ã‚ã‚¹ãƒˆï¼ˆè¨€èªžæƒ…å ±ï¼‰ã§ã¯è¡¨ç¾ã™ã‚‹ã“ã¨ãŒã§ããªã„ã€å¤šç¨®å¤šæ§˜ãªå£°ã®ãƒ‹ãƒ¥ã‚¢ãƒ³ã‚¹ï¼ˆãƒ‘ãƒ©è¨€èªžæƒ…å ±ï¼‰ãŒå«ã¾ã‚Œã¦ã„ã¾ã™ã€‚テã‚ストã«ã™ã‚Œã°å…¨ãåŒã˜å†…容ã§ã‚ã£ã¦ã‚‚ã€ä¾‹ãˆã°å£°è‰²ã®é•ã„ã«ã‚ˆã£ã¦ã€ä¼ãˆã¦ã„ã‚‹æ„味ãŒæ£å対ã«ãªã‚‹ã“ã¨ã™ã‚‰ã‚ã‚‹ã®ã§ã™ã€‚ãã®ãŸã‚ã€éŸ³å£°ã§äººã¨å††æ»‘ã«ä¼šè©±ã‚’è¡Œã†ã“ã¨ãŒã§ãる機械を実ç¾ã™ã‚‹ãŸã‚ã«ã¯ã€éŸ³å£°ã«å«ã¾ã‚Œã‚‹å¤šæ§˜ãªãƒ‘ãƒ©è¨€èªžæƒ…å ±ã‚’æ©Ÿæ¢°ãŒèªè˜ã™ã‚‹ãŸã‚ã®æŠ€è¡“ãŒæ¬ ã‹ã›ã¾ã›ã‚“。 ãã“ã§æœ¬è¨˜äº‹ã§ã¯ã€ãƒ‘ãƒ©è¨€èªžæƒ…å ±ã®èªè˜æŠ€è¡“ã®ä¸ã§ã‚‚特ã«
音声ãŒä¼ãˆã‚‹æƒ…å ±ã‚’é€ƒã•ãšæ‰ãˆã‚‹ãŸã‚ã®æŠ€è¡“
ã¯ã˜ã‚ã«ã€ŒéŸ³å£°è¨€èªžå‡¦ç†æŠ€è¡“ã€ã¨èžãã¨, 音声を文å—ã«æ›¸ãèµ·ã“ã™ãŸã‚ã®æŠ€è¡“（音声èªè˜ï¼‰ã‚„, 書ãèµ·ã“ã—ãŸæ–‡å—を機械ã§è§£æžãƒ»è§£é‡ˆã™ã‚‹æŠ€è¡“を想åƒã•ã‚Œã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“. ã—ã‹ã—音声ã«ã¯, 例ãˆã°è©±ã—手ã®å£°è‰²ã‚„æ¯ã¥ã‹ã„ã®ã‚ˆã†ãªæƒ…å ±ã‚‚å«ã¾ã‚Œã¦ã„ã¾ã™. ã“ã®ã‚ˆã†ãªæ–‡å—ã«æ›¸ãèµ·ã“ã›ãªã„æƒ…å ±ã¯, 従æ¥ã®éŸ³å£°è¨€èªžå‡¦ç†æŠ€è¡“ã§ã¯ã‚ã¾ã‚Šæ‰±ã‚ã‚Œã¦ãã¾ã›ã‚“ã§ã—ãŸ. 実際ã®ã‚³ãƒŸãƒ¥ãƒ‹ã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ç¾å ´ã‚’考ãˆã¦ã¿ã‚‹ã¨, ç§ãŸã¡ã¯éŸ³å£°ã«åŠ ãˆã¦ã‚¸ãƒ£ã‚¹ãƒãƒ£ãƒ¼ã‚„表情ãªã©ã‚’使ã£ã¦, 多種多様ãªæƒ…å ±ã‚’æ„è˜çš„ã¾ãŸã¯ç„¡æ„è˜çš„ã«ã‚„ã‚Šã¨ã‚Šã—ã¦ã„ã¾ã™*1. 音声・éžéŸ³å£°ã‚’å•ã‚ãš, ã“れらã®æ–‡å—化ã§ããªã„æƒ…å ±ã®ã“ã¨ã‚’ç·ç§°ã—ã¦ã€Œéžè¨€èªžã€æƒ…å ±ã¨å‘¼ã³ã¾ã™. ãã—ã¦éžè¨€èªžæƒ…å ±ã®ä¸ã§ã‚‚, 話ã—手ãŒéŸ³å£°ã‚’使ã£ã¦, æ„è˜çš„ã«ç›¸æ‰‹ã«ä¼ãˆã‚ˆã†ã¨ã™ã‚‹æƒ…å ±ã®ã“ã¨ã‚’「パラ言語ã€æƒ…å ±ã¨å‘¼ã³ã¾ã™. 本記事ã§ã¯, ã“ã®ãƒ‘ãƒ©è¨€èªžæƒ…å ±ã«ã¤ã„ã¦è€ƒå¯Ÿã—ã¾ã™. パラã¨ã¯ã€Œå‘¨è¾ºçš„ãª, 補足的
ãŠãƒ¼ã·ã‚“AIæ–‡å—èµ·ã“ã— - 誰ã§ã‚‚ç°¡å˜ãƒ»å®‰å…¨ãƒ»ç„¡æ–™ã€‚高精度文å—èµ·ã“ã—
安心セã‚ュリティ 音声ファイルをパソコンã‹ã‚‰å¤–部ã«ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã™ã‚‹äº‹ã¯ã‚ã‚Šã¾ã›ã‚“。極秘ã®éŸ³å£°ãƒ•ã‚¡ã‚¤ãƒ«ã§ã‚‚安心ã—ã¦ä½¿ãˆã¾ã™ã€‚
GitHub - ggerganov/whisper.cpp: Port of OpenAI's Whisper model in C/C++
Stable: v1.6.2 / Roadmap | F.A.Q. High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model: Plain C/C++ implementation without dependencies Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and Core ML AVX intrinsics support for x86 architectures VSX intrinsics support for POWER architectures Mixed F16 / F32 precision 4-bit and 5
é’ç©ºæœ—èª | é’空文庫ã«æ‰€è”µã•ã‚Œã¦ã„る本を朗èªã—ã¦ã„ã¾ã™
é’空朗èªã®æœ—èªè€…ã§ãƒ•ãƒªãƒ¼ã‚¢ãƒŠã‚¦ãƒ³ã‚µãƒ¼ä¸‰ç”°æœ±ç¾Žã•ã‚“構æˆãƒ»æ¼”出ã®æœ—èªä¼šã®ãŠçŸ¥ã‚‰ã›ã§ã™ã€‚出演：å¤ä»ŠäºèŠåƒä»£ã€åºƒå±…ãƒãƒ³ä»– 11月13æ—¥(月）昼14：00～　夜19：00～ ä¼šå ´ï¼šæ–°å®¿åŒºç¥žæ¥½å‚3-4AYビルB1　THE GLEE ã”予約ã€ãŠå•åˆã›ã¯joプãƒã‚¸ã‚§ã‚¯ãƒˆã€Šã‚ョウユウ》三田ã¾ã§ mail：jo.p.kyoyu@gmail.com　 tel：03-5300-8752
GitHub - alphacep/vosk-api: Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Vosk is an offline open source speech recognition toolkit. It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come. Vosk models are small (50 Mb) but p
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
GitHub - thewh1teagle/vibe: Transcribe on your own!
BetterDictation.com
Voice Changer: Use AI To Change Your Voice For Free | ElevenLabs
murmurtype | Best speech-to-text app
superwhisper
ElevenLabs: Free Text to Speech & AI Voice Generator | ElevenLabs
Lingvanex | On-premise Speech Recognition
GitHub - neonbjb/tortoise-tts: A multi-voice TTS system trained with an emphasis on quality
GitHub - openai/whisper: Robust Speech Recognition via Large-Scale Weak Supervision
‎Voice Enabled Camera - Take selfies by voice command
AI Speech Technology | Speech-To-Text API | Speechmatics
{{#tags}}- {{label}}
{{/tags}}