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Streaming ASR: decoding speech without seeing future audio
A post from the Tongyi Speech AI account explains streaming speech recognition, which must define words while the speaker is still talking, and how latency and lookahead shape model and decoder design.
According to the post from the Tongyi Speech AI account, streaming automatic speech recognition must define words while the speaker is still talking. The system decodes in near real time, with limited access to audio that has not yet arrived. The source highlights that latency and lookahead, meaning the future stretch of audio the model may observe, shape the design of the model and decoder in live voice applications. The text gives no metrics, data, linked page preview or implementation details.
For Rota Nacional, the relevance is indirect. The platform detects personal data such as CPF, CNPJ, email, phone numbers and names before any model runs and applies the organization's policy. Audio transcription already passes through this same barrier, but this material does not describe streaming as a Rota feature. To consult the original, find the Tongyi Speech AI account on the platform where the post was published, check the stated date, and look for any technical article or further references before citing any result.
Original source: ASR em streaming: decodificar fala sem ver o áudio futuro