Can Voice Agents Handle Bilingual Customers? Benchmarking Frontier ASR on Code-Switched Speech
Hugging Face Blog5 days agoBenchmarkCode-switching—where bilingual speakers blend two languages in a single utterance—is common in markets like Taiwan, Singapore, and India, yet most ASR benchmarks focus on monolingual audio. ServiceNow AI evaluates frontier speech recognition models specifically on this mixed-language scenario. The findings help enterprise teams make informed ASR model choices when deploying voice agents for multilingual customer-facing applications.
Voxtral★ 78
Mistral AI News6 days agoReleaseMistral AI introduces Voxtral, a speech understanding model family with 24B and 3B variants under Apache 2.0. The models support long-context transcription, audio Q&A, summarization, multilingual detection, and function calling from voice. Mistral says Voxtral is competitive across transcription and audio understanding benchmarks, with API access starting at $0.001 per minute and local downloads available on Hugging Face.
How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent
Hugging Face Blog10 days agoTutorialThis Hugging Face Blog post appears to be a practical tutorial for fine-tuning NVIDIA Nemotron 3.5 ASR. Based on the title, it focuses on adapting speech recognition to a target language, specialized domain, or accent. The original text was not provided, so implementation details, datasets, commands, metrics, and hardware requirements cannot be confirmed.
Hugging Face 為 Open ASR 排行榜引入「防刷榜機制」，使用私有測試數據打擊 Benchmaxxer★ 75
Hugging Face Blog39 days agoReleaseHugging Face has recently made a major update to its popular Open ASR (Automatic Speech Recognition) leaderboard, aimed at combating the increasingly serious…
Hugging Face 推出 Open ASR Leaderboard 新賽道：聚焦多語言與長音訊語音辨識趨勢★ 75
Hugging Face Blog205 days agoReleaseHugging Face recently made a major upgrade to its flagship "Open ASR Leaderboard," officially launching two brand-new evaluation tracks: "Multilingual" and…
使用 Hugging Face Inference Endpoints 實現高效能 ASR、語者辨識與投機解碼★ 75
Hugging Face Blog774 days agoTutorialThis technical blog post from Hugging Face introduces how to build a powerful and efficient speech processing system using Hugging Face Inference Endpoints — a…
使用 🤗 Transformers 微調 W2V2-BERT 以進行低資源語音辨識 (ASR)★ 75
Hugging Face Blog877 days agoTutorialThis technical blog post from Hugging Face provides a detailed walkthrough of how to use the `transformers` library to fine-tune Meta's open-source W2V2-BERT…
微調 MMS Adapter 模型：為低資源語言打造專屬語音辨識 (ASR)★ 70
Hugging Face Blog1,091 days agoTutorialMeta's MMS (Massively Multilingual Speech) project, released in 2023, extends speech technology to over 1,000 languages, covering automatic speech recognition…
Microsoft SpeechT5 登陸 Hugging Face：語音合成、辨識與轉換的多功能統一模型★ 75
Hugging Face Blog1,222 days agoReleaseMicrosoft's SpeechT5 model has been officially integrated into Hugging Face's Transformers library. This represents a significant advancement in the field of…
使用 🤗 Transformers 微調 Whisper 進行多語言語音辨識 (ASR)★ 80
Hugging Face Blog1,319 days agoTutorialOpenAI's Whisper is a powerful automatic speech recognition (ASR) model. While its zero-shot capabilities are impressive, there remains significant room for…
在 🤗 Transformers 中使用 Wav2Vec2 處理超長音檔的自動語音辨識 (ASR)
Hugging Face Blog1,594 days agoTutorialIn the field of automatic speech recognition (ASR), Wav2Vec2 is a revolutionary model, but it faces a significant challenge when processing long audio files…
在 🤗 Transformers 中使用 n-gram 提升 Wav2Vec2 語音識別效能
Hugging Face Blog1,614 days agoTutorialThis technical blog post from Hugging Face introduces how combining n-gram language models (LMs) can significantly improve the performance of Wav2Vec2…
使用 🤗 Transformers 微調 XLSR-Wav2Vec2 以進行低資源語音辨識 (ASR)
Hugging Face Blog1,672 days agoTutorialAutomatic speech recognition (ASR) has achieved remarkable success for resource-rich languages such as English and standard Mandarin, but building…
使用 🤗 Transformers 在 Hugging Face 中微調 Wav2Vec2 進行英文語音辨識 (ASR)★ 70
Hugging Face Blog1,920 days agoTutorialThis is a landmark technical tutorial published by the Hugging Face team in 2021, detailing how to fine-tune Meta AI's Wav2Vec2 model using the Hugging Face…