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Changelog

das-Peak 2.10.0 (2022-Q3)

  • Veridas improves its Voice Biometric Authentication solution by enhancing its Voice Activity Detection (VAD) module, the accuracy has been improved by 58.6% compared to the last version.
  • Multichannel support (configured to accept a maximum of 2 channels, audio stereo). The effected endpoints are:
    • /credential/wav
    • /similarity/credential2wav
    • /similarity/wav2wav
    • /identification/wav2credentials
    • /models/{hash}/credential/wav

das-Peak 2.8.2 (2022-Q2)

  • This version adds improvements our liveness detection algorithm which is capable of detecting non-genuine voices (prerecorded or synthetic voices). We improved detection of voices coming from high quality speakers by 50.22% and by 36.92% the voices coming from low quality speakers.
  • Non-backwards compatible API Change announcement: The /credential/wav endpoint will have hash model ID parameter as mandatory for the 2023 Q1 release.

das-Peak 2.7.0 (2021Q4)

  • New Biometrics model with hash 2b045e0bc0ba5426651d3e4638403da43e5f843afaa32c3fc5773626 and a better performance.
  • Increased max number of subjects in identification endpoints. The previous N = 100 value has been improved to N = 1000.

das-Peak 2.6.0 (2021-Q3)

  • Increased max number of subjects in identification endpoints. The previous N = 10 value has been improved to N = 100.
  • The following model with hash '38da15f1b61fb5800c5928f6f1437aed7a0b0e7921fa6bb7852c5783' has been deprecated. The same is not available anymore.

das-Peak 2.4.0 (2021-Q1)

  • Updated endpoint '/models/{hash}/credential/wav' to give same AS result than other endpoints.
  • Added new voice biometric model with hash '16dde449bdffa504b805508d58e400b18deb4546219e9aeb63edeed2' with last version of antispoofing.

das-Peak 2.3.1 (2020-Q3)

  • Different multi-calibration modes: this new functionality allows customers to select between different calibration modes to get the best accuracy of the verification/identification results depending on the use case (telephone audio, lossless audio or non-calibration).
  • New endpoint to obtain metadata information of a model given its hash. With this endpoint, it is possible to get some metadata about a specific model.
  • New endpoint to obtain the types of calibration that a model supports. With this endpoint, it is possible to know the calibration allowed in a specific model to be used for a specific use case.
  • New endpoint to obtain the hash model that was used to create a voice credential.
  • Support for a contextual data header: this new header is logged in every query allowing to build statistics and billing segregated by customer, use cases, sub-clients and so on.

das-Peak 2.2.5 (2020-Q2)

This new version of das-Peak incorporates an updated model to detect replay attack spoofs through reproducing voice by smartphone speakers. Briefly, this new version of das-Peak introduces the following changes:

  • Pre-recorded voice detection (Replay attack) has significantly improved now reaching 98,62% accuracy. In addition to that this detection method is now represented by a new score that can be optionally activated for backwards compatibility.

das-Peak 2.2.4 (2020-Q1)

This new version of das-Peak incorporates new features to work with multiple voice biometric engines and new audio formats. Briefly, this new version of das-Peak introduces the following changes:

  • New voice biometric model added which improves accuracy by 26% compared to the previous model. New voice credentials will be generated using the new voice biometric model by default. Previous model can be used as well.
  • Capability of processing voice audios with 16Khz sample rate and 16 bits per sample added. das-Peak 2.2.1

This new version of das-Peak incorporates two new endpoints to the API for speaker identification functionalities. Briefly, this new version of das-Peak introduces the following changes:

  • Identification endpoint to compare a wav file with a voice credentials list, returning the highest score credential and the rest of scores.
  • Identification endpoint to compare a voice credential with a voice credentials list, returning the highest score credential and the rest of scores. das-Peak 1.5

This new version of das-Peak incorporates improved model for speaker verification functionalities. Briefly, this new version of das-Peak introduces the following changes:

  • Accuracy of the Voice biometric model improved (EER=4.73 vs EER=3.69, 22% improvement)