Speechmatics 在 2025 年发布了 10 项受追踪的更新。 在 7 个活跃月份中平均每月约 1 项。 最活跃的月份是 2025年10月(3)。 主要主题是 product launches(1)。 亮点:“Best TTS APIs in 2026: ElevenLabs, Google, AWS & 9 More Compared”(2025年11月6日)。
浏览 Speechmatics 的其他年份
2025年11月
Speechmatics introduced the first bilingual Voice AI model supporting Arabic and English, marking a global first in the industry. This innovation expands their speech-to-text capabilities to multiling…
2025年10月
Speechmatics expanded its Medical Model to support Spanish, Dutch, Finnish, and French, achieving 7.3% WER in Spanish—20% better than competitors like AssemblyAI and Whisper. The models include real-t…
Speechmatics introduced a new streaming Text-to-Speech (TTS) API delivering under 150ms latency while maintaining natural voice quality, addressing gaps in real-time voice agents. The product supports…
Speechmatics announced native integration with Vapi, enabling developers to build voice AI agents with Speechmatics' industry-leading speech recognition as the input layer. The integration supports re…
2025年9月
Speechmatics and LiveKit announced a partnership enabling LiveKit’s 100,000 developers to access Speechmatics’ real-time, speaker-aware speech recognition and diarization. The integration adds speaker…
2025年8月
Speechmatics details its self-supervised learning approach to speaker diarization, achieving 48% fewer speaker identification errors and 38% fewer speaker change mistakes at 1-second latency compared …
2025年7月
Speechmatics introduced the first bilingual voice AI models for Southeast Asia—Mandarin-English, Malay-English, and Tamil-English—designed to handle natural code-switching in real-world conversations.…
2025年6月
Speechmatics details how real-time concurrency underpins its ability to process over 500 years of human conversation monthly, supporting sessions up to 48 hours and beyond. The company argues that con…
2025年5月
Speechmatics introduced Flow On-Premise, enabling enterprises to deploy its Conversational AI API locally for total data sovereignty, eliminating third-party cloud risks. The solution runs on Kubernet…
Speechmatics reduced transcription errors in Norwegian by 40%, eliminating 1,400 mistakes per hour of audio. The improvement stems from model scaling, diverse dialect training data, and language-speci…